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  • Data Visualization
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  • Business Intelligence Glossary
    Business Intelligence Glossary – Common Jargons
    Business intelligence and data warehousing technologies are heavy on jargons. There are specific terms to define specific method and processes. For a… Read More »Business Intelligence Glossary – Common Jargons
  • BI-DW Fundamentals: What is Data Mart?
    BI-DW Fundamentals: What is Data Mart?
    Data mart is often interchanging-ly used to mean a data warehouse. If you are not proficient, you may be one… Read More »BI-DW Fundamentals: What is Data Mart?
  • Data Warehousing Process
    Data Warehousing Process – Know The Data Before You Design
    We have a wide range of tools, techniques, and frameworks to build a data warehouse. They will certainly improve the… Read More »Data Warehousing Process – Know The Data Before You Design
  • Analytic Technologies in Grocery Business
    Analytic Technologies in Grocery Business
    A typical grocery store often sells non-perishable food items that are packaged in cans, bottles and boxes, with some stoes… Read More »Analytic Technologies in Grocery Business
  • R visual in Power BI
    Step by Step Guide – Creating R Visuals in Power BI Desktop
    Ability to add R visuals in the reports gives that extra edge to Power BI as a visualization tool. R… Read More »Step by Step Guide – Creating R Visuals in Power BI Desktop
  • Thick data
    Competitive Edge That Thick Data Can Bring to Your Business
    Traditional business intelligence technologies have helped the organizations to gain deeper insight from their data. With the help of intuitive charts, KPIs, verified numbers… Read More »Competitive Edge That Thick Data Can Bring to Your Business
  • Traditional Business Intelligence Architecture
    Traditional BI Architecture – What, Why, and How?
    Rome wasn’t built in a day, so does a business intelligence system of any organization. It requires lot of strategies… Read More »Traditional BI Architecture – What, Why, and How?
  • When Analytics Meets the Statistics
    When Analytics Meets the Statistics …
    Google trends gives an interesting alalysis of Analytics, Data Science and Statistics – usage of these words in the web.… Read More »When Analytics Meets the Statistics …
  • ETL Process in Data Warehouse
    End-to-End ETL Process in Data Warehouse
    ETL is an abbreviation for Extraction Transformation Loading. Purpose of ETL is to get data out of the source systems and load… Read More »End-to-End ETL Process in Data Warehouse
  • ETL - Extract Transform and Load
    BIDW Fundamentals: What is ETL?
    Term ETL refers to methods access and manipulate source data and load it into target data. ETL is the abbreviation… Read More »BIDW Fundamentals: What is ETL?
  • Predict Stock Price with Multiple Regression and R
    Predict Stock Price with Multiple Regression and R
    Plethora of study has been done to forecast a stock price using predictive algorithms and other statistical techniques. As a… Read More »Predict Stock Price with Multiple Regression and R
  • OLAP - Online Analytics Processing Example
    BIDW Fundamentals: What is OLAP?
    OLAP stands for OnLine Analytical Processing and it deals with Historical Data or Archival Data. Historical data are those data… Read More »BIDW Fundamentals: What is OLAP?
  • Kimball and Inmon Approaches to Data Warehousing
    Kimball and Inmon Approaches to Data Warehousing
    Both Bill Inmon and Ralph Kimball are stalwarts of data warehousing and business intelligence industry, they have contributed immensely to… Read More »Kimball and Inmon Approaches to Data Warehousing
  • Kimball Methodology of Data Warehousing
    Kimball Methodology of Data Warehousing
    Ralph Kimbal is one of the most renowned architects in the world of data warehousing technologies. His guidelines to design a… Read More »Kimball Methodology of Data Warehousing
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