Author: Kartik Patel

Let’s Talk About BI Data Democracy

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September 16, 2015

Data democracy

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’. If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization. The business user cannot be limited to viewing static dashboards developed by dashboard developers with only the most basic drill down and filtering capabilities. Business users must be empowered by true data democratization and self-serve BI tools, which, in many cases, is the original intent of a BI solution implementation. Sadly, many businesses never achieve their original goals, but rather end up with ‘packaged dashboards’, because they are hamstrung by desktop-based data discovery BI tools that require design control and intervention by dashboard developers and limit business users to packaged views and tasks.

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Visual Analytics is for Monitoring. Deep Dive is for Discovery!

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August 25, 2015

Deep Dive Analysis

Handling large amounts of data for business analytics can be challenging. To defeat data overload and manage those mountains of data, you need smart aggregation and consolidation of relevant data encompassing appropriate contextual information over a relevant period.

New BI tools have made this job easier with deep dive technology that enables simple analytics and allows you to leverage sophisticated tools, in an easy-to-use environment so that you can not only report on your data but you can get to those hidden nuggets of data that will have the most impact on your organization.

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InMemory Vs Managed Memory Computing

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August 6, 2015

InMemory Vs Managed Memory Computing

Let me start with recent past or I would say past?Traditional business intelligence tools and corporate performance management solutions typically use an IO-based processing technique that makes the compilation and analysis of data a slow process. It limits processing and speed from hardware resources that use extensive IO to read and write to and from the disk. This challenge can be frustrating for users and for IT staff because it reduces productivity and can overwhelm systems during peak periods.

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Visual Analytic Monitors. Deep Dive Discovers!

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July 14, 2015

Deep Dive Analysis

There is lot of noise about Visualization of data in BI space these days. Simple charts, complex charts (few of them can not be digested by many business users 🙂 ), tons of properties and configurations and much more….

Yes, a great work has been done in these area by most of the vendors in the BI marketplace today, and all decision makers are enthusiastic about this, and that enthusiasm is reflected in the growth of this BI visualization tools market.

So, one gets enthusiastic about it, becomes internal advocate for visualization in the organisation and the whole process of exploring visualization for business benefits starts…. But before you get to the next level, some pointers here…

ElegantJ BI is the flagship product of Elegant MicroWeb, a software product and application development company, located in Ahmedabad, India and specializing in Business Intelligence and Corporate Performance software.

Starting Point is the Data Influx

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Gartner Business Intelligence Summit – My Take

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June 19, 2015

gartner-BI-summit

I attended the Gartner Business Intelligence, Analytics and Information Management Summit, 2015, held in India on June 9 and 10 in Mumbai.This was my first visit to the Gartner Summit, and I came back with some great insights, thoughts and – most of all – a real validation of the direction we are taking with our ElegantJ BI business intelligence and corporate performance management suite and current and future benefits our solutions provide for our customers and partners.

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Handcuffing Users with Packaged BI Dashboards?

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June 16, 2015

Handcuffing Users with Packaged BI Dashboards?

Business intelligence solutions have come a long way in the past five years with continued innovation and transformation from traditional BI to data visualization and data discovery. With the advent of improved BI tools and accessibility, many businesses are using precious IT budgets to add self-serve business intelligence to their solution infrastructure and put the power of self-serve BI tools into the hands of their employees and business users.

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‘You pay, I work’.. The partnering myth in IT, is not partnering…

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April 2, 2015

“Right off the bat, let me clear one thing…. this is for people looking for right partners to do Enterprise class IT i.e. Software or Product Development Works… because that is my business…

Having been in IT i.e. Software Development business since the late 1990’s my company is quite old for its industry and accordingly so, we do enjoy a very good team, infrastructure and people. Largely being technology driven than marketing, we attribute our success and sustenance to Great Partnerships that started off at very small scale and went about becoming a consistent stay with us for years and thus becoming naturalized Partnerships.As of today, we have delivered software solutions to giants in different industry and consistently honed our skills to remain relevant and efficient, got in to product development & delivered an awesome product that is rated among the top 20 BI products to emerge from India.

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BI – Managed Memory Computing is Superior to InMemory Computing

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July 25, 2014

BI - Managed Memory Computing is Superior to InMemory Computing

Traditional business intelligence tools and corporate performance management solutions typically use an IO-based processing technique that makes the compilation and analysis of data a slow process. It limits processing and speed from hardware resources that use extensive IO to read and write to and from the disk. This challenge can be frustrating for users and for IT staff because it reduces productivity and can overwhelm systems during peak periods.

BI solutions that utilize InMemory Computing are able to load data into memory, and because the process of memory read/write is very efficient and fast as compared to IO-based processing technique, it provides superior performance. However, InMemory Computing requires a lot of memory to serve large data sets and a large user base, and that is an expensive hardware proposition.

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