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Personal data – 55 things you need to know about GDPR
No doubt you’ve heard of the General Data Protection Regulation (GDPR) act introduced by the European Union by now. Some companies – such as Facebook and Google – have already been accused of breathing the legislation; which protects EU citizens from having their personal data misused. It also gives them more control over their personal data. So, just what IS personal data?
How the GDPR Defines Personal Data
The GDPR defines personal data as information related to someone that can be used to identify them; directly or indirectly. The reality is that personal data can be just about anything. The main things that are considered to be personal data are:
Your Name and Picture
Your name is one of the most obvious pieces of personal data there is. Combine it with a photo of you and someone can identify you in seconds. Other people can share your name, which is why it might not be enough, but there’s no denying the combination of both a name and photo.
Email Address
Your email address is likely connected to your other data. There are websites that can tell you who owns a particular email address. It also allows people to contact you without your consent, something else the GDPR aims to crack down on.
Home Address
Most people think nothing of giving their home address away to services they use. That is, until they get junk mail and realize that people they don’t know have their address – and that they got it without their consent.
Bank Details
Would you want someone to know your bank details without your permission? Of course you wouldn’t. You might not even realize that your banking details may have been sold.
Medical Information
Medical information is a deeply personal and intimate piece of information. Your health is something that should be kept private and personal. It’s another piece of important personal information you might not realize has been given up without your consent.
IP Address
Your IP address is connected to your computer. It is something that can be used to identify your location, name, address, and possibly even your internet history. If you ever want to know what your IP address says about you, then just try using an IP lookup service yourself.
Biometric Data
Biometric data is things such as your finger print or retina. You might use biometric data to unlock your devices. Obviously your devices will store this information. Given that this information can be used by your device, it’s no surprise it can be used by people.
Racial and Ethnic Data
This is information about your race or ethnicity. Advertisers are known to target specific races and people from specific countries, and this information allows them to do that.
Political Opinions
Political opinions aren’t just something that can be used to identify you; they can be used to attack you and even discredit you. If you’re the kind of person that wants to keep your political opinions to yourself, you probably wouldn’t want strangers on the internet knowing them.
Sexual Orientation
Your sexual orientation is something else you may wish to keep private.
Summary
To put it simply, personal information really could be anything. If it’s something about you, anything at all, then it’s personal information and the GDPR is there to protect it.
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AI in BFSI market to grow at 30% CAGR by 2024 – Study
The Artificial Intelligence (AI) in Banking, Financial Services and Insurance (BFSI) Market is set to grow from its current market value of more than $2.5 billion to over $25 billion by 2024, according to a latest study by Global Market Insights, Inc.
The study suggests that the need to provide an enhanced customer experience is the primary factor augmenting the growth of the AI in BFSI market.
As the competition among the market players is mounting day-by-day, companies have started to focus on providing a better experience to the customers to gain the customer loyalty. This encourages financial institutes to integrate advanced analytics tools and solutions to analyze customer data to fulfill their requirement, understand the customer experience, and to make smarter predictions about their behavior and requirements. Furthermore, companies are also looking forward to connecting with the customers on their choice of channels to provide a more seamless experience.
Artificial Intelligence (AI) in BFSI Market
Furthermore, as digitalization is spreading across the globe, customers are becoming more empowered. They have access to a wide array of products offered by the traditional as well as dynamic new entrants. As the choices increase, the customer loyalty becomes more friable and the customer becomes more empowered. The organizations have no option but to remain agile and continuously innovate their business by adopting modern technologies to cater to the high expectations and standards for customers.
The customer behavior analytics solution market is estimated to grow at a CAGR of over 35% during the forecast timespan. The growing demand to analyze the structured and unstructured customer data among the financial institutes to provide a personalized experience to the customers is a major factor affecting the growth of the market. This solution can mine a vast volume of data to extract actionable insights and recommend appealing & personalized offers to the individual customers. Furthermore, the ability of the solution to transform the marketing activities and enhance the customer engagement also drives the demand.
The risk management, compliance, and security applications of the AI in BFSI market are anticipated to grow noticeably at a CAGR of about 40%. The market is driven by the improved demand for advanced machine learning algorithms in Anti-Money Laundering (AML) and fraud detection applications. Unlike the traditional security systems, the AI-powered system can actively learn and calibrate as per the new potential security threats. This solution can detect unique security issues & vulnerabilities and flag the security teams.
U.S. Artificial Intelligence in BFSI Market Share, By Solution, 2017 (USD Million)
The insurance market is estimated to grow at a CAGR of over 38% during 2018-2024. The growth of the market is credited with the adoption of advanced data models and analytics solution among the insurance companies to identify and quantify risks in a better manner. Furthermore, increasing collaboration & partnership activities between the insurers and fintech companies are also the major factors propelling the AI in BFSI market growth.
Europe held more than 20% share in AI in BFSI market. The investments by the tech giants in the region support the market growth. For instance, Amazon Web Services (AWS) invested approximately USD 2.3 million in Max Planck Institute for Intelligent Systems, a Germany-based AI research center for the development of AI and robotics technology. Similarly, in 2016, Google announced the establishment of a new research and development facility in Zurich, Germany.
Asia Pacific AI in BFSI market is estimated to grow at a CAGR of over 40%. The growth is owing to the rising venture capital investments in AI and fintech. China is leading the investment landscape in the Asia Pacific with more than USD 8.0 investment in the fintech sector in 2016. Furthermore, the country also accounts for more than 11% share in the global AI investments in 2016. Similarly, India also accounts for significant investments in the AI and fintech sectors.
AI in BFSI market is highly competitive due to the presence of both multinational companies and start-ups. The players are constantly innovating and developing advanced products to cater to the growing customer demand. The prominent vendors of the AI solution in BFSI sector are Microsoft, Google, Intel, IBM, AWS, Salesforce, Oracle, SAP, Palantir, IPsoft, Inbenta, Lexalytics, Interaction, and Next IT. The multinational companies, such as AWS, Google, and Microsoft, account for the majority of the share in the market. However, some start-ups, such as Inbenta, Lexalytics, and Interactions, also play a vital role in the overall market.
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Top 6 Data Science, Machine Learning and AI Podcasts you must check out
Podcasts are a great way to educate yourself about a certain topic or to keep up with the latest trends in a particular area. They’re gaining more and more relevance, as the number of podcast listeners is on the rise. Currently, around 50 million Americans listen to podcasts on a weekly basis. Among topics that are becoming increasingly interesting for both creators and fans are the latest data science and AI issues and developments. If you’re interested in getting involved in this industry or simply want to know what’s new in this area, here are a few podcasts that you might find useful.
Talking Machines
Talking Machines offers a little bit of something for everyone. Hosts Katherine Gorman and Ryan Adams have different backgrounds, the former coming from the world of radio production and the latter being a machine learning academic. Together with their guests who are experts in machine learning, they try to analyze some important concepts on a level comprehensible to most listeners, although they do sometimes tend to get a bit technical. An average episode lasts for around 60 minutes and listeners are welcome to give them a call and get involved in the conversation themselves.
Data Skeptic
Once a week, for more than 4 years, Kyle Polich, the host of Data Skeptic, deals with matters like natural language processing, data science or game theory. The episodes vary from hour-long discussions with industry experts to 10-15 minutes short overviews of topics and trends related to the mentioned subject matters. Some episodes demand a decent level of knowledge about these fields, but Kyle and his occasional co-host, Linh Da, do their best to make them more accessible, often by using amusing analogies with their parrot.
The O’Reilly Data Show
Big data is truly big and is not getting smaller as 2.5 quintillion bytes of new data is created every day. One of the best places to get informed on big data is the O’Reilly data show, hosted by Ben Lorica, Chief Data Scientist of the O’Reilly Media. Episodes are around half an hour long, with a schedule that tends to be somewhat inconsistent.
Lorica hosts some of the top authorities in the area of data science and usually keeps the discussion at a very high level. Therefore, having some knowledge of the subject matter is desirable if you want to be able to follow the conversation. It’s great for experts and those who work in the big data companies, as it can help them improve their understanding of the hottest data science issues.
Learning Machines 101
Some of the predictions concerning AI are not just shocking, but also worrying. For instance, according to some studies, almost 40 percent of jobs in America will be replaced by AI by 2030s. In addition, as soon as two years from now, we can expect 85 percent of customer interactions being managed without any human help.
These two predictions come from reliable sources, but there’s a lot of crazy theories about AI that need to be debunked. Learning Machines 101 is a podcast with a goal to demystify artificial intelligence and myths about it. They claim that they’re trying to introduce people to the world of AI in an amusing and entertaining manner, although they do get carried away now and then so discussions can become too technical at times. Therefore, some episodes require a bit of background knowledge about artificial intelligence.
Linear Digressions
As it was just mentioned, there’s a lot of ignorance surrounding the topics of AI, machine learning and data science. Luckily, there are all sorts of courses, shows and podcasts that are trying to reach people who are not exactly experts in the subject matter. And it’s very important to find ways to present the complex issues related to these topics to a wider, less proficient audience.
Linear Digressions’ hosts, Ben Jaffe and Katie Malone, try to do this by pointing out to real-world applications of neural networks and some machine learning concepts. It’s short, interesting and relatively easy to digest, so listening to their 15-30 minute episodes definitely won’t be a waste of time
Data Stories
Data Stories is a podcast created by Enrico Bertini and Moritz Stefaner, and it runs once a week. It features guests from different fields, and the discussions are probably a bit more focused than in the case of other presented podcasts. The main talking point is data visualization, so if you happen to have an interest in this field, this podcast is a great place to start. Over one hundred episodes have been aired already, and with each episode 30-50 minutes long, that’s a huge amount of content you can enjoy.
There are many more podcasts that deal with topics of data science, machine learning and artificial intelligence, such as Concerning AI, This Week in Machine Learning and AI, Partially Derivative or Freakonomics Radio. If you’re interested in these fields, you should choose the podcasts that suit your level of understanding and specific areas of interest. Whichever you pick, having a little extra knowledge on these matters won’t hurt you, since these are all growing industries, with AI industry alone predicted to become a $5 billion business by 2020. In any event, it will be time well-spent compared to endless scrolling through social networks.
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Top 10 HR Analytics tools in 2018
Larger companies call for more employees. And more employees mean that there’s a whole lot of employee data to manage and use. So, your HR team is probably frazzled with a lot of extra work to do. With a single team of people managing so many different functions, they must wish certain tasks can simply happen with a more ease and a lot less effort. That’s why it’s important for larger companies to invest HR analytics tools to help keep better track of their employee data.
Why You Need People Analytics
While the decisions of all departments in a company are vital to the success of your business, an HR team’s functioning determines the set up and health of your workforce. In today’s business environment, your employees are the number one key to your success. But as industries and organisations grow, the number of employees in a company is much more. What happens to all that employee data? How will it be managed. That’s where people analytics, or HR analytics come into play.
People analytics software examines employee data and helps provide actionable insight based on these databases. The potential use for these insights are limitless. They would help in formulating a better recruitment strategy, improve employee engagement and help tighten performance management. These tools not only help HR personnel to understand the company employees’ talents, capabilities and productivity, but also help them understand their sentiments to programs that benefit them and the company.
How to Find the Right Tools
You can prevent catastrophe (like an angry employee mob) only with excellent planning. For that you need data and research. But there are a lot of tools out there which help in various aspects of talent management. It’s important that you pick the tools that correlate to your company’s work and your employee base. The tools you pick should help with the following:
- Plan future employment needs based on predictive analysis instead of simply reacting to challenges you didn’t expect
- Get visual HR metrics
- Analyze the current environment
- Help you manage your team better with tools such as measuring their performance
- Plan your budget
If you haven’t tried this approach to HR yet, this is what you’re missing out on an easier and efficient way to manage your employee data. We have a list of the 10 best people analytics tools that should do the job for you.
Zoho People
You can get an all in one solution because this software program helps you manage your HR as well as giving you analytics. It can help you with leave, attendance and time tracking so you don’t have to do it manually anymore.
Its main area of analytics is performance appraisal. You can draw performance reports, so you know who is your ‘Rough Diamond’ and which ‘Talent Risk’ needs extra mentorship.
The fact that employee self appraisal is part of the setup will have your team feel more connected with each other and the company.
Zoho People is excellent to gauge how your current team performs, but you may need something different if you need to improve your employee intake process
IBM Kenexa
This IBM product is quality software for both small and medium businesses. Its focus is on helping companies find and then retain quality employees. Therefore, the analytics features you find here can be applied to help make you a very attractive employer.
We love that this tool is not only focused on what’s going on inside the business but helps you plan where the business is supposed to move towards.
It’s a cloud-based system that can be accessed via Android, Windows or iOS. Training and support systems are in place to help you use it optimally.
People Analytics by TrenData
One of the best ways to measure your success in terms of HR is to keep track of your turnover rate. If your people keep leaving, there’s something wrong.
This is one of the analytics tools People Analytics offers you. This and other trends can easily be tracked on a very intuitive interface.
The brand also provides training on various platforms making it easy to implement. Users do hope that using more external factors—instead of only internal data—will become part of the system in future updates. Try the free trial version if you think this is for you.
Oracle HR Analytics
Why not use one program across your entire business? This tool is part of Oracle’s Business Intelligence Applications. It’s designed to improve analysis in terms of customers, suppliers and your bottom line.
A user’s dashboard can be customized so a manager can easily find exactly what he or she is looking for. With the tool incorporating data from all over the business the user has a realistic view of the current circumstances.
PeopleInsight
The magic of this tool is that the developers recognized the problem of data being in several places. If it’s not centralized, you can’t use it optimally. This tool puts the data together and pushes out actionable analytics.
You can align the analytics with your specific objectives. The system allows much customization so no matter your question you can search for the answer.
Crunchr
What is analytics really for? It’s about empowering you to make dynamic decisions. This is the motivation behind Crunchr.
The app is scalable and intuitive so it’s easy to learn & implement in your unique setup.
With the analytics from this software you’ll realize where there are gaps in competency. This serves as foundation for your HR action plans to source the right candidates and develop the employees you have.
Aurion Analytics
The benefit with Aurion is all the visual presentation you get from the data that is analyzed. Tables or graphs are usually easier to understand than facts and figures, so it makes the data you have more meaningful. It’s an easy add on to other Aurion products.
Advance Systems
This will make your HR functioning effortless and accurate. With Advance Systems’ BI tool, you get real time feedback so the data you use for decision making is current and relevant.
This specific tool caters for experienced HR personnel who want to design reports—with tables, pivots and gauges—as well as standard users that will benefit using the many templates. You can have your customized dashboard built by the brand so you only view what’s relevant to your daily tasks.
Advance Systems Inc. provides products for both handling current teams and managing applications for available positions.
Integrated in all of this you’ll get feedback and analysis functions, so you can determine where you need more assistance.
It’s relevant to many industries including healthcare, hospitality and retail.
Talentsoft Analytics
With Talentsoft Analytics you get many user-friendly features such as drag-and-drop options and private dashboards. You get feedback on KPIs so your decision making becomes easier and accurate because it’s based on real time data. Best of all is that there’s a free trial option so you can see if this is for you before investing money.
BambooHR
You also get a free trial with BambooHR. This software is designed around making your proactive instead of reactive with HR responsibilities such as workforce planning. It offers many templates but with one of the advanced packages, you can customize them to suit your unique needs.
In Conclusion
Remember your business is unique. You have the benefit of many different products at your disposal, so you can pick the options that fit best with the unique blend of people in your company. Make a list of what you want to know and then invest in the software that will give you the insight you need.
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Top Business Intelligence (BI) tools in the market
This article aims to list all top BI (Business Intelligence) products available on the market. It should help interested users to compare and select the best solution for their needs. According to the list of best business intelligence tools prepared by experts from FinancesOnline the leading solutions in this category comprise of systems designed to capture, categorize, and analyze corporate data and extract best practices for improved decision making. The more advanced the system is, the more data sources it will combine, including internal metrics coming from different company departments, and external data extracted from third-party systems, social media channels, emails, or even macroeconomic data. Ultimately, business intelligence software helps companies gain insight on their overall growth, sales trends, and customer behavior.
1. Sisense
Sisense is one of the leaders in the BI market and a winner of the Best Business Intelligence Software Award for 2016 from FinancesOnline, one of the most popular business software review platforms. This solution capable to effectively simplify complex data analyses, and make big data insights accessible even for startups and small companies. The competitive edge of Sisense is primarily its capacity to collate data from multiple sources without pricey preparations (sources can be Salesforce, Google Analytics, AdWords, and many more). Users will also enjoy the tool’s very efficient use of in-chip technology in a database that processes data 10 times faster than traditional systems. Sisense also works with the innovative ElastiCube technology, which means it can import large sets of data and work with any CPU layout without compromising the quality of your results. If you are interested to learn more about its features you can actually try out the software yourself with a great free trial plan they offer. You can easily sign up for Sisense free trial here.
2. Actuate Business Intelligence and Reporting Tools (BIRT)
BIRT project is a flexible, open source, and 100% pure Java reporting tool for building and publishing reports against data sources ranging from typical business relational databases, to XML data sources, to in-memory Java objects. BIRT is developed as a top-level project within the Eclipse Foundation and leverages the rich capabilities of the Eclipse platform and a very active open source community of users. Using BIRT, developers of all levels can incorporate powerful reporting into their Java, J2EE and Eclipse-based applications.
3. icCube
icCube is a SaaS end to end BI platform, specialized to be embedded in your application. Deploy it on premises, in the cloud or make use of one of their managed services and enjoy a short time to market for custom feature requests. It integrates seamlessly with any application because of the on-the-fly-authentication and authorization (up to cell level), the ability to connect and combine any custom data source, direct access to Java and R, a web based dashboard builder and the ability to graphically design widgets from scratch. Basically, icCube is the dream for any software developer who needs to provide predefined dashboards or a solid web based self service BI solution, to their end-users.
4. Domo
Domo’s Business Optimization Software brings together the people, the data, and the insights business users need to deliver a detailed view of what’s happening in your organization. Connect all of your crucial business data, collaborate with fellow employees, and get powerful visual data—all within one customizable platform.
5. Board Management Intelligence Toolkit
BOARD toolkit combines various BI and CPM functionalities within a single graphical software environment. BOARD’s BI capabilities include multi-dimensional analysis, ad hoc querying, dashboarding and reporting, while its CPM capabilities include budgeting, planning and forecasting as well as “other finance-related activities”.Like Business Intelligence software in general, BOARD is used in an effort to improve productivity and decision making while lowering costs. It does not require any programming skills to build BI and CPM applications.
Clear Analytics is incredibly intuitive Excel-based solution with minimal training required. Employees with a basic knowledge of Excel can learn the system rapidly, so businesses can implement a fully-operational, self-service Business Intelligence system with little downtime and almost no learning curve. Clear Analytics offers a variety of BI-specific features to help generate, automate, analyze, and visualize a company’s key data and information. Clear Analytics also enables consolidation of data from multiple data sources and all within excel.
7. Ducen
Companies need to keep an eye on every revenue generating event and cost saving opportunity while improving customer satisfaction and retention. By combining historical data with real-time operational data for analysis, business users can make more informed, proactive decisions. However, to achieve these efficiencies, data must be available real-time.
8. Gooddata
GoodData powers the All Data Enterprise by offering an Open Analytics Platform that supports both IT’s need for Data Governance, security and oversight and business users desires for self-service Data Discovery.The platform consolidates data of any size, typically found both inside organizations and in the cloud, creating an analytic experience that is both fast and agile for users, yet protected, managed and secured for IT.
Information silos, multiple platforms and excessive reliance on spreadsheets can hinder the process of analyzing your business data to understand performance and recommend improvements With business analysis software from IBM, you can explore information from different angles and perspectives and compare it with data in motion and trends for a more extensive view of your business. The facts you need for better results are right at your fingertips.
10. Insightsquared
Successful sales strategy is dependent on understanding the customer. But for small and medium businesses building up the kind of intelligence database needed can be time consuming and take staff away from the task of actually selling. It can be many months before the implementation of a traditional sales intelligence platform bears fruit.
11. JasperSoft
The Jaspersoft Business Intelligence Suite offers a number of ways for end users to perform interactive analysis. For the most casual user, this might involve simply changing a filter setting on a report to view a different slice of data. For a data analyst this could mean writing powerful, multi-dimensional expressions.
12. Looker
Looker is a data-discovery platform that helps companies make better business decisions through real-time access to data. Data, no matter the size, can be analysed within Looker’s 100% in-database and 100% browser-based platform. Looker analytics integrate with any SQL database or data warehouse, such as Amazon Redshift and Greenplum.
Microsoft Business Intelligence platform include Analysis Services, Integration Services, Master Data Services, Reporting Services, and several client applications used for creating or working with analytical data. This section of the SQL Server Setup documentation explains how to install these features. Analysis Services and Reporting Services can be installed as standalone servers, in scale-out configurations, or as shared service applications in a SharePoint farm. Installing the services in a farm enables BI features that are only available in SharePoint, including PowerPivot for SharePoint and Power View, the Reporting Services ad hoc interactive report designer that runs on PowerPivot or Analysis Services tabular model databases.
14. MicroStrategy
From local spreadsheet data to enterprise data systems to cloud-based data, MicroStrategy provides effortless access to all business data from one place. Use data connectors that are optimized for each source, and allow queries to reach their greatest performance potential. Connect to one source or many, separately or in combination. Gain the pure play advantage of superior R&D focus on strong technology partnerships and high speed analytics.
15. MITS
Over 1,000 companies are using MITS Distributor and Manufacturer Analytics to empower everyone—from the CEO to purchasers to sales reps—to make better decisions with tools designed specifically for their role. By combining flexible, user-friendly business intelligence tools with premade and customizable reports, dashboards, and scorecards ready to run for your business systems, MITS helps users quickly gain value from their analytics and business system investments through improvements in cash flow, profitability, and business growth.
16. OpenI
OpenI provides a web-driven interface to build and publish interactive reports from OLAP data sources. Going beyond that, OpenI aims to provide consolidated analysis from all the key data components of an intelligent application. Our key goal is to take away the complexity of creating and publishing reports for business users. OpenI does this by providing a clean, intuitive interface to connect to different types of data sources, and to publish web-based interactive reports. If you want to build web-based intelligent applications that interact with your OLAP data sources.
17. Oracle BI
Oracle BI is a comprehensive collection of enterprise business intelligence functionality that provides the full range of business intelligence capabilities, including dashboards, full ad hoc, proactive intelligence and alerts, and so on. Typically, organizations track and store large amounts of data about products, customers, prices, contacts, activities, assets, opportunities, employees, and other elements. This data is often spread across multiple databases in different locations with different versions of database software.
18. Oracle Enterprise BI Server
Oracle Business Intelligence Enterprise Edition 11g is a comprehensive business intelligence platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, search and collaboration, mobile, integrated systems management and more. OBIEE 11g is based on a proven web service-oriented unified architecture that integrates with an organization’s existing information technology infrastructure for the lowest total cost of ownership and highest return on investment.
Oracle acquired Hyperion, a leading provider of performance management software. The transaction extends Oracle’s business intelligence capabilities to offer the most comprehensive system for enterprise performance management. The acquisition of Hyperion extends our business intelligence product strategy. Customers are increasingly using performance management and business intelligence together. Hyperion adds complementary products to Oracle’s business intelligence offerings including a leading enterprise planning solution, world-class financial close and reporting products, and a powerful multi-source OLAP server. Coupled with Oracle’s BI tools and pre-packaged analytic applications, the combination redefines business intelligence and performance management.
20. Palo OLAP Server
Palo is a memory resident multidimensional (online analytical processing (OLAP) or multidimensional online analytical processing (MOLAP)) database server and typically used as a business intelligence tool for controlling and budgeting purposes with spreadsheet software acting as the user interface. Beyond the multidimensional data concept, Palo enables multiple users to share one centralised data storage.
21. Pentaho
Pentaho addresses the barriers that block your organization’s ability to get value from all your data. Our platform simplifies preparing and blending any data and includes a spectrum of tools to easily analyze, visualize, explore, report and predict. Open, embeddable and extensible, Pentaho is architected to ensure that each member of your team — from developers to business users can easily translate data into value.
22. Profit base
Profitbase SIM is a full scale financial planning and simulation tool for budgeting and forecasting where Profit & Loss, Balance Sheet and Cash Flow statements are fully integrated. SIM enables management to simulate business scenarios and immediately see the financial impact. SIM delivers a wide selection of standard reports, graphical charts and features seamless integration with Profitbase Studio and WebPlan.
23. QlikView
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making,Develop, enhance, re-engineer, maintain and support QlikView applications to create robust services around business requirements to inform business decision-making and Understand all the data that the business holds and create sustainable reporting solutions ensuring the accuracy of the data.
24. Rapid insight
Rapid Insight is a leading provider of business intelligence and automated predictive analytics software. With a focus on ease of use and efficiency, Rapid Insight products enable users to turn their raw data into actionable information. The company’s analytic software simplifies the extraction and analysis of data, enabling clients ranging from small businesses to Fortune 500 companies to fully utilize their information for data-driven decision making.
Predictive analytics give your decision makers the insight they need to predict new developments, capitalize on future trends, and respond to challenges before they happen. SAP’s market-leading combination of real-time business intelligence (BI) and predictive analytics make it easy for you to extract forward-looking insights from Big Data, harness the power of R, and create stunning data visualizations with ease.
SAP BusinessObjects Analysis, edition for Microsoft Office is an Office add-in that allows multidimensional ad-hoc analysis of OLAP sources in Excel. It also allows, Excel workbook-based application design and creation of BI presentations in PowerPoint. It perfectly connects to SAP NetWeaver BW and SAP HANA.
27. SAP NetWeaver BW
Quickly Capture, store, and consolidate your vital information with our real-time data warehouse platform. Tightly integrate your warehousing capabilities for a single version of the truth, decision-ready business intelligence, and accelerated operations.Supercharge your data warehouse environment with SAP Business Warehouse powered by SAP HANA.
28. SAS BI
According to Forrester, SAS has not only been a market leader in advanced predictive analytics, but also a provider of a formidable BI platform. Customers select SAS for its well-integrated, one-stop platform, a significant part of which is its BI capabilities. SAS provides scalability, excellent data integration, multiple query languages, internationalization, customization through a rich set of APIs, advanced analytics tools, MDM, performance management, and reporting and querying. SAS ranks eighth on number of Forrester BI inquiries. Recent market survey data indicates that 14% of corporate customers depend on SAS for their BI needs.
29. Silvon
Business Intelligence solution provider Silvon Software, Inc.to bring a powerful, web-based business analysis software interface to retailers. Under the terms of the agreement, RPE will market Silvon’s Viewer interface for Performance Analysis by IDEAS, a client-server BI application for JDA Software Group’s Merchandise Management System. This new optional interface for Performance Analysis by IDEAS will provide many added features for today’s mobile professionals.
30. Solver
The solver in excel is part of an analysis tool known as “what ifs analysis”. You can use solver to ascertain an optimal value in one cell known as the “target cell”. Basically, solver is used for a group of cells that are directly or indirectly related. Constraints can also be applied to minimize the value that can be used by Solver. This article will provide step-by-step guide on how to use solver to find solution to a business problem.
31. SpagoBI
SpagoBI supports the real-time monitoring, analysis and presentation of business data and processes. You can keep business processes under control by constantly monitoring their state.SpagoBI allows you to go further than this: you can detect inefficiencies and bottlenecks in your business processes, promptly react to events requiring quick decision making, as well as discover new business opportunities hidden in your own data.
32. SQL Server Analysis Services
Server Analysis Services platform, build high performance analytical models (multidimensional and tabular) that can be used for interactive data analysis, reporting, and visualization. SQL Server provides a comprehensive analytical and modeling experience to support rapid solution prototyping and support for the largest enterprise-grade solutions.
Style Intelligence is business intelligence software for dashboards, reporting, visual analysis, and data mashups. It blends enterprise strength with a small, 100% Java footprint. Unlike traditional BI platforms, Style Intelligence does not require specialized BI skills or consultants to implement or use. It delivers maximum self-service that is both end-user and IT-friendlier than other BI solutions.
Syntel’s Technology Outsourcing services deliver value and provide solutions that transcend platforms. Leverage Syntel’s expertise in managing business processes, systems and platforms in order to reap the benefits of an innovative and collaborative outsourcing partnership. Syntel understands your pain points and offers a set of distinctive services that enhance your operations across the applications and IT environments. Syntel designs a client-specific strategy to achieve your desired objectives, and our services help you create a strategy based on the value to your business.
35. Targit
TARGIT fights all unnecessary clicks that only make your life difficult. TARGIT BI Suite has a very unique and intuitive user interface you have to see it to believe it! You will experience an integrated and ready-to-use set of tools which enables you to create intelligent dashboards, revealing analyses and insightful reports in fewer clicks than with any other Business Intelligence solution on the market. TARGIT will accelerate decision making, increase operational awareness, and improve performance across the organization. TARGIT BI Suite is so easy to use that all employees can follow trends, create all types of analyses, and make decisions.
36. Vismatica
Vismatica by IronRock Software is powerful data visualization solution geared toward small to medium businesses. Dashboard development tools make up the core of this system, but Vismatica also empowers you to create powerful data collection forms and conduct data analysis. It can be deployed on premise or over the web as a hosted solution. Vismatica comes with additional features for sharing documents and designing web applications.
37. WebFOCUS
The WebFOCUS Business Intelligence and Analytics platform empowers everyone in your organization to make smarter, more confident decisions. WebFOCUS extends to your customers and partners, too, giving them easy access to analytic apps and tools from any browser or mobile device.
38. Yellowfin BI
Data to dashboards Yellowfin delivers a brilliant analytical experience. Our interface is more than beautiful it provides all the data discovery features that you will ever need. All this whilst providing a fine balance between the ease of use business users require and the governance needs of enterprise IT.
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Is Asia ready for Europe’s GDPR?
In April 2016, the European Union sought to replace their 1995 Data Protection Directive with a new set of regulations. Which aimed to protect the internet rights of EU residents. Last week, the new and much awaited General Data Protection Regulations (GDPR) finally came into effect. It reinforces data privacy on a much larger scale than any of the previous national data privacy laws, both territorially and digitally. For the first time, one set of regulations protect the internet rights of residents of the EU and the EEA. And while the GDPR may not be a hundred percent perfect, it unifies data protection regulation across Europe and places the power quo into the hands of individual internet users rather than organizations.
A revised set of Internet rights
The GDPR provides individuals from the EU a set of fundamental data subject rights as well as contextual rights which they can exercise under particular conditions and with exceptions. These include the right to be forgotten, the right to object, the right to access and the right to be notified among several others.
Essentially, this implies that an EU resident’s data cannot be collected, used or stored until the organization has received explicit permission from the user for processing their data. These organizations are also required to clearly explain why their data is being gathered and how it is being used.
Of course, these data subject rights are not absolute, and as mentioned, are subject to conditions and exceptions. They can be influenced as well by already existing rights. For example, the right to information and the freedom of expression which could affect the right to erase one’s data. Of course, there would be cases in which organizations have their own legal stipulations and obligations which could out-weigh the data rights of users. However, in such cases, there are guidelines set up by the European Data Protection Board for organizations to follow.
The new regulations called for significant changes in company policy and infrastructure. The EU had given a grace period of two years so that companies could make the necessary changes in order to be GDPR compliant. To both European companies and those outside the EU.
Is Asia ready?
Asia, of course, is one of the regions which had to sit up and take notice of the GDPR. But do enterprises based in Asian countries need to be bothered by a data protection law for European citizens?
The matter of fact is that they do. Given that the GDPR focuses on protecting the individual rights of internet users, these regulations apply to any organization which collects and holds data of EU residents. The GDPR particularly applies to companies who (a) process personal data outside of the EU but have establishments, such as branches or subsidiaries, in the EU; (b) provide goods and services to users in the EU, or (c) monitor the behavior of individuals in the EU.
Given that many Asian countries have adopted stricter data privacy laws in recent years – like Japan’s Personal Information Protection Act (PIPA) and Singapore’s Personal Data Protection Act (PDPA), the GDPR completely raises the bar when comes to data privacy. So, is it surprising that there are very few Asian companies who are compliant despite the two-year grace period? In fact, studies have shown that even a month before the GDPR was scheduled to take effect, less than one-third of Asian companies were ready for it. While organizations in Europe have been preparing for the GDPR for past two years, many Asian companies are only just beginning to comprehend and assess the impact of the GDPR on their businesses.
What happens if Asian companies are non-compliant?
The consequences of being non-compliant are pretty dire. If the event of Facebook’s data breach had happened after the 25th of May, the social media giant would have been answerable to the EU. Then perhaps, the company wouldn’t have escaped unscathed.
An organization could face multiple lawsuits and a €20 million fine. Or would have to give up to 4% of their annual global turnover, whichever is the greater amount. However, these are the legal actions that European companies will face.
The one beacon of light in the confusion surrounding the GDPR is that the EU regulators would most likely focus on European companies before they look towards Asia and the rest of the world. It still appears to be unclear how the regulators plan to enforce GDPR overseas. The suggested route of action is that Asian companies caught would be required to appoint a representative as a point of contact in Europe. The point of contact could be a subsidiary, branch or representative office. In cases where they run into roadblocks while taking action against a non-compliant Asian company, it would most likely be that regulators would take enforcement action against this European contact.
However, the fact remains that overseas companies who fall into the GDPR compliant bracket have to ensure that they will be ready. Even if they seem too late for the game, Asian companies, including small businesses and start-ups, need to consider whether they are required to comply with the GDPR or not. And then take the necessary actions to accommodate these changes.
The post Is Asia ready for Europe’s GDPR? appeared first on Big Data Made Simple - One source. Many perspectives..
Source: http://bigdata-madesimple.com/
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