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Dhananjay Gokhale

Dhananjay is a BI Developer with over 8 years of experience in Database & MIS Reporting for corporates. He loves developing open-source projects & has trained over 1,000 people in Excel.

Blogs from this Author

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Power BI & Excel Connectivity: Scenarios Which Can Break Dashboard

Background Excel is the most used spreadsheet software in today’s era, used by every level of organization. Quite a huge amount of unorganized data is maintained in Excel workbooks, owing to ease of quick creation, storage & sharing of Excel files over database. Resultant many of the Power BI reports / dashboards are based on […]

Salesforce for Financial Services

How to Query & Extract data from OneStream metadata XML using XPath & XSLT

Background OneStream supports exporting metadata into XML file for backup and restore purpose (via menu Application > Tools > Load/Extract). This blog covers technique to extract this information from metadata XML using technology named XSLT (eXtensible Stylesheet Language Transformation), which can read XML hierarchy & extract information from it.   Tools Required Microsoft Visual Studio […]

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Accessing Power BI confidential data in Excel for internal organization users

Background Microsoft Excel is a popular and preferred spreadsheet solution for quick daily use reporting by the majority corporations and businesses in the world. Many times, corporate users need access to organization’s data in Excel for further development of MIS Reports. Power Query is a powerful tool embedded in Excel which can connect to internal […]

Power BI: Import vs Direct Query

Background Core of any BI tools is to acquire business data from multiple sources and then to co-relate it for quality reports & dashboards. Information Technology is being dominantly used for business processes from last 20 years. Volume of data has grown a lot. Businesses have shifted to enterprise database platforms like SQL Server, Oracle, […]

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Power Query – Intro

Background In 21st century era, data is the most valuable and critical asset of any business. To convert this data into knowledge, analytical processes are required to be applied on data. Every level of management requires analysis of data, but its context is different for all. Previously data analytics was primarily done by business ERP […]