Arunkalyan Nagarajan, Author at Perficient Blogs
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Arunkalyan Nagarajan

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Personnel Analytics for better “self-awareness”

BI technologies these days are not just limited to the Business world, it has seen widespread adoption in the consumer space as well. And its use is growing and people are finding the value in such analytic tools. I would like to discuss 2 example of personnel analytics that caught my eye in the recent past. Example […]

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Change Data Capture: Capabilities, UseCases and Offerings: Part 2

The post is the 2nd in the series which covers capabilities, use cases and product offerings for change data capture technology. The critical capabilities which are expected in a CDC tool Selective data replication and synchronization is a capability to synchronize data between multiple databases. It usually supports high volume and mission critical scenarios. An […]

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Amazon Redshift: BI in the Cloud

BI and DW in the cloud has been avoided by companies for a while now. There are many reasons that are attributed for the slow start. Companies want to play the wait and watch approach when it comes to moving BI to the cloud The offered solutions were not straightforward and not much cost effective […]

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BigML – Predictive Modelling made easy

I have been pleasantly surprised about the new startups which have emerged on predictive analytics  This year, i would be covering a wide range of predictive analytical tools and its usage techniques. We no longer need PHDs to understand statistics and to start using predictive models. We have to know how to use the tools and […]

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Excerpts from Oracle OpenWorld 2012

There has been a lot going in the BI world and Oracle had a bevy of announcements in the last Oracle Openworld 2012. Its been 3 months since the events, but the trends and announcements would have lasting impact on the BI world. The BI specific topics that were covered in the event were about […]

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(Visual) Data Discovery ( Beauty or a Beast ? )

Search technology has been around for more than a decade now, but they have been used to index web files and to help users find what they are looking for. The search technology when used in the enterprise BI context brings two new capabilities to BI. First, search analyses data behind the scene that traditional […]

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My experience with an Enterprise BI strategy change

I recently had the opportunity to work with a client who were facing some trouble with their overall  BI vision, because the data warehouse solution was not mature in the organization and the company’s new 3rd party applications for Call Center and CRM software brings an integrated BI stack with them. The Problem Because of […]

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The Need for better use of Algorithms in BI

I recently came across couple of articles in AllthingsD where two C level executives have put forth their point of view on what is more critical to business (More data or better algorithms?). I believe since this is a BI blog, we might as a group be more inclined towards the more data argument than […]

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Mobile BI – Part 3 -Current Landscape & Key product offerings

The last in the series discusses about the landscape of the mobile BI and key product offerings from major players. There are 2 types of mobile BI players 1. Major BI players These are the big guns who are typically slow in bringing their solution to market. They are focused on tightly integrating their offering with their […]

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Mobile BI – ( Part 2 – Trends )

This is part 2 of the 3 part series on Mobile BI trends and implementation strategy. Last post discussed the mobile implementation strategies for organizations. This one shifts focus to the current trends in mobile BI. The next post would focus on the current landscape and key product capabilities. The below diagram describes the hype […]

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Mobile BI – Old Wine in New Bottle? – Part 1

I would like to start with a quote from the late Steve Jobs “Many of the touch, content-interaction, and collaboration features that make tablets and smartphones so appealing for consumer use could also revolutionize the experience of BI, particularly for nontechnical users.” Mobile BI has been in the wild for almost 3 years and few […]

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Big Data – Part 4 ( In Memory Analytics )

The last of the 4 part BigData trends. This post covers the role of in-memory analytics and some tools that are being used. What is In-Memory Analytics? To put it simple: Performing analysis on the memory/RAM. Flash memory’s price is decreasing  and the RAM can store Terabyte-size datasets. And since 64 bit processors can address […]

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Big Data Trends – Part 2 ( Stream Processing )

In continuation with my previous post on Big Data Trends, I would like to reference couple of Stream processing solutions that are able to process huge volumes of data with low latency. These solutions address the shortcomings of the traditional ETL delivery mechanism. ETL shortcomings ETL and message queue systems address offline reporting and batch […]

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Big Data Trends

Introduction My first blog in nearly 2 years with Perficient. I have been watching this space for a while and have been wondering for some time about potentials topics to blog. I have decided to initially focus my blogs on some interesting Business Analytics technologies which are discussed infrequently. ( Data mining, Predictive Analytics, Text […]

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