Big Data, Bigger Impact

Ken Rudin gave a great presentation on Big Data as keynote speaker at TDWI World Conference, happened early this month in Chicago, IL.  Ken is the Director of Analytics at Facebook, where he’s focused on ensuring that analytics is a key strategic asset for Facebook. He’s responsible for leveraging Facebook’s massive analytics platform to generate high-impact insights that optimize both the Facebook user experience and Facebook’s overall business.

Watch and enjoy!

Dilbert on Big Data

(Click on comic strip to view larger image)
Dilbert by Scott Adams-Dilbert ©2013, Universal Uclick
Published at June 29, 2012 in dilbert.com

Celebrating 5 years of blogging

My blog is completing 5 years today. Thank you so much all of you for reading my blog. Your readership is really appreciated.

Dilbert on the importance of social media score

Dilbert by Scott Adams-Dilbert ©2013, Universal Uclick
PQublished at March 21, 2013 in dilbert.com

Top Business Intelligence Trends for 2013

In my opinion, the Business Intelligence trends for this year are basically the same as last year, with emphasis on Mobile BI, Big Data and Cloud BI. Based on that, I'm reviewing what I wrote at the beginning of last year with some new comments.

BI Resolution for Companies

Take advantage of the emerging BI trends to make organizations actually become a democracy of information, with business intelligence being used for everyone, anywhere, anytime.

Top Business Intelligence Trends for 2013

Mobile BI – The proliferation of smartphones and tablets in the enterprise, and the need to make decisions anywhere/anytime accessing real-time analytics make mobile BI remain a hot topic. There are several companies that specialize in developing mobile BI applications and most BI vendors also have developed a mobile version.

Big Data – The amount of data in our world has been growing exponentially, and the uses of big data will allow companies to put data to work more efficiently. They could really turn into data-driven enterprises. The interest in Big Data has grown enormously in recent years, with the most BI vendors launching Big Data Analytics solutions and also appearing several companies specializing in Big Data.

Cloud BI – The cloud-based BI will boost the use of BI. The cloud model allows the companies to save money, with faster implementation without substantial investments. It is also ease of use. Although there are many concerns about implementing BI on the cloud (mainly security), the vendors and the market as a whole have matured. It is important to remember that it’s necessary to have a well-defined data integration strategy to implement a successful cloud-based BI.

Self-Service BI - With BI tools even easier to use, and the results easy to consume, enabling more flexibility and analytics capabilities to nontechnical users, the business users are less dependent on the IT.

In-Memory Analytics - The growing need of companies for high-performance analytics applications, with the ability to provide high speed of access in a big amount of data, make the interest in In-Memory Analytics platforms increases more and more.

Open Source BI - The Open-source BI has evolved significantly with more complete and sofisticated tools. They are being implemented by large, medium and small companies, moving toward mainstream.

Text Analytics and Sentiment Analysis - The growing use of social media for the companies (several companies have Twitter account and Facebook page) along with the need of collect and analyze many kinds of unstructured data are becoming the text analytics and sentiment analysis increasingly important.

Collaborative BI - BI tools with embedded collaboration capabilities allow BI users to share information and work together more easily and efficiently. People like and are familiar with the use of social media tools, thus facilitating the widespread use of Social and Collaborative BI.

IBM Cognos Insight

IBM Cognos Insight - Sanjeev Datta

This book, written by Sanjeev Datta, Business Analytics expert and Practice Director of PerformanceG2, is a guideline about how to use IBM Cognos Insight, a desktop Analytics tool that combining an in-memory analysis engine with capabilities of data exploration and data visualization. IBM Cognos Insight can be used stand-alone for personal analytics or as a collaborative application, working with others IBM Business Analytics tools, like IBM Cognos Business Intelligence or IBM Cognos TM1.

The book covers all the aspects of IBM Cognos Insight, since how to install and configuring, the usability, until the examples of Strategic Decision Making using the tool. In the Chapter 1, he explores the concepts of Business Analytics and how the IBM Cognos Insight fits this concept. In the Chapter 2, he explains how to install and configure the tool.

In the Chapter 3, Usability of IBM Cognos Insight, he demonstrates in detail the features to import data, analyze it, build workspaces, and also how to reorient, restructure, and display data in rich visual formats. In the Chapter 4, he brings some interesting examples on how to use the tool for Strategic Decision Making. And in the last Chapter, he explains how to share the information in a enterprise collaboration environment.

The book is well detailed and illustrated, and a good resource to get started with IBM Cognos Insight.


Book Details
Book: IBM Cognos Insight
Publisher: Packt Publishing
Language: English
Paperback: 142 pages
Release Date: November 2012
ISBN: 184968846X
ISBN 13: 9781849688468
Author: Sanjeev Datta