Posts Tagged ‘Emerging BI 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 […]

While attending the SharePoint conference a couple of weeks ago I noted the three major technology trends being presented, namely: Social, Cloud and Mobile. While not being surprised that these three where at the top of the list, I did wonder if the sentiment was the same across the industry and what that would mean […]

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 […]

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 […]

This is part 3 of the Big Data Trends i have been covering the past couple of weeks. I covered the changes to the traditional ETL solutions that are increasingly being used in enterprises ( stream processing ). This part covers yet another trend in Big Data. Open source statistical programming and Crowd sourced data […]

This is my second blog in a two-part series to introduce Data Quality Services (DQS) in SQL Server 2012.  Please refer to my first blog which discusses the interactive client for DQS – Introduction to Data Quality Services (DQS) – Part I.  In this blog, I will introduce the SQL Server Integration Services (SSIS) component which […]

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 […]

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 […]

I was recently introduced to SQL Server 2012 and discovered Data Quality Services (DQS); a new feature of SQL Server 2012.  I wanted to use this blog as an introduction to DQS, define key terms, and present a simple example of the tool.  According to MSDN, The data-quality solution provided by Data Quality Services (DQS) […]

My previous blog post was about Enterprise Search.  Within my research, I continuously came across the term Big Data.  Obviously, I had heard of this before, but I was not well versed on what it actually meant.  While I was waiting at the airport, I saw a Harvard Business Review (HBR) magazine staring at me, […]

I recently investigated a few Enterprise Search tools.  After attending some training, I was really excited to learn more about the software and what Enterprise Search is all about.  I wanted to use this blog as an opportunity to share some information that I have obtained and present my opinion on where this industry is […]

One of the most important aspects in the progression of business intelligence is the use of buzzwords. These words drive interest in the field and provide common language between the world of technology and business to steer initiatives. However, in an ever-changing industry it is difficult to pinpoint standard definitions. Buzzwords often overextend their original […]