Of course, spreadsheets are software too, you’d think. What’s more, they can be automated as well for important business functions. So, what is missing here? Well, the humble spreadsheet can do a lot. But it is not capable enough to help you organize your data, generate useful reports, and make…
Spurring organization such as eLuminous Technologies which has its forte in multiple services like custom web development, mobile app development, web design, front-end development, and business intelligence solutions succeeds in generating interest of a well known and reputed online aggregator- GoodFirms. GoodFirms is an online B2B aggregator which serves as…
Following the Data Integration Guide-Part I where we got to know what is it all about, challenges, techniques, Today I am going to share how we have done data integration practically for one of our USA based client. Let’s go through this detailed case study: About Our Client: Our client is…
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics…
Gartner recently released its 2018 Gartner Critical Capabilities for Data Analytics & BI platforms which will going to be a strong resource for buyers of data management solutions in finding the products that fit best in their organizations. Critical capabilities are defined in terms of quality & performance. Rating is…
No one can predict the future, but we can make some educated guesses. Pacing with the change in each passing year, if you don’t pay attention to these changes, it is easy to fall behind the times & market. We are here to amend the top technology buzzwords, that others…
Predictive Analytics has many approaches and most depend on clean databases, relational data warehouse and the ability to mine data to look for patterns or to create classifications. It is important to understand the various approaches so you know when to use which one. Regression analysis Regression models is a…
Predictive analytics uses machine learning to analyze data and make predictions. Since a long time, it has been on the market but its adoption is quite low because of the complexity and cost. Predictive analytics has a proactive approach to data, which business intelligence doesn’t have, Business intelligence helps us…
As a Sales Head of eLuminous from last 5 years, I have gone through various situations where compromise on values was the best option commercially but we decided to choose the harder one & never compromise on values that we are delivering to more than 700 Clients of eLuminous. It…
BI-nosaur, Gartner’s research director had initiated this new term for the people who are still using traditional business intelligence. Analyzing massive datasets, formulating result on Hadoop was a complex process. But over the years, that has dramatically changed. According to Gartner’s research director Joao, these BI-nosaurs will eventually become extinct…
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