We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Blog: Krish Krishnan Subscribe to this blog's RSS feed!

Krish Krishnan

"If we knew what it was we were doing, it would not be called research, would it?" - Albert Einstein.

Hello, and welcome to my blog.

I would like to use this blog to have constructive communication and exchanges of ideas in the business intelligence community on topics from data warehousing to SOA to governance, and all the topics in the umbrella of these subjects.

To maximize this blog's value, it must be an interactive venue. This means your input is vital to the blog's success. All that I ask from this audience is to treat everybody in this blog community and the blog itself with respect.

So let's start blogging and share our ideas, opinions, perspectives and keep the creative juices flowing!

About the author >

Krish Krishnan is a worldwide-recognized expert in the strategy, architecture, and implementation of high-performance data warehousing solutions and big data. He is a visionary data warehouse thought leader and is ranked as one of the top data warehouse consultants in the world. As an independent analyst, Krish regularly speaks at leading industry conferences and user groups. He has written prolifically in trade publications and eBooks, contributing over 150 articles, viewpoints, and case studies on big data, business intelligence, data warehousing, data warehouse appliances, and high-performance architectures. He co-authored Building the Unstructured Data Warehouse with Bill Inmon in 2011, and Morgan Kaufmann will publish his first independent writing project, Data Warehousing in the Age of Big Data, in August 2013.

With over 21 years of professional experience, Krish has solved complex solution architecture problems for global Fortune 1000 clients, and has designed and tuned some of the world’s largest data warehouses and business intelligence platforms. He is currently promoting the next generation of data warehousing, focusing on big data, semantic technologies, crowdsourcing, analytics, and platform engineering.

Krish is the president of Sixth Sense Advisors Inc., a Chicago-based company providing independent analyst, management consulting, strategy and innovation advisory and technology consulting services in big data, data warehousing, and business intelligence. He serves as a technology advisor to several companies, and is actively sought after by investors to assess startup companies in data management and associated emerging technology areas. He publishes with the BeyeNETWORK.com where he leads the Data Warehouse Appliances and Architecture Expert Channel.

Editor's Note: More articles and resources are available in Krish's BeyeNETWORK Expert Channel. Be sure to visit today!

August 2009 Archives

It is clearly a sign of the times. Companies are now seriously looking at Social Analytics as part of their mainstream BI portfolio. Why? why the sudden importance one might wonder. Consider the following situation

Customer A purchases a product from Company XYZ at Store123. They are very happy about the product and the associated service. Chances are this customer will market the product by word of mouth to their immediate contacts. This was the situation till Twitter, MySpace and Facebook became the voice of the customer. Today the same customer almost immediately uses their social network site and blogs about the company, store, product and all the good stuff they experienced. What this does is a very powerful marketing channel for the company and its product, creating a market demand across the globe.

IF the Customer had a negative experience and was very upset, the message from this customer will evoke more similar reactions, and this will end up as a negative branding and marketing for the said company and its product/service.
Companies today have realized the fact that they are selling, servicing and marketing to customers known and unknown. The customer experience that they provide to these customers, can swing into a positive marketing and branding exercise or can cause a negative impact.

How do companies measure this? how will they hear the voice of the customer?. This is where the emerging field of  Sentiment analysis and Opinion mining plays a large role. There are software products available to enable the processing of customer sentiments in the internet and in the media, by analyzing these sentiments, companies can train their CRM, Call Center and Marketing departments to enhance the quality of service and can reap rich rewards.

Marketing will be the biggest beneficiary of this exercise. Today if you cannot market to the individual, your chances of getting their attention to the product / service that you intend to sell will simply not be there.

We are seeing the increase of target marketing on the internet and especially on Social Networking sites, why? the answer to that lies in the fact that you might be able to get the attention of hundreds of customers in one swoop, and reapply the same ad multiple times across areas of the world. Companies have been able to do this based on three items

1. Clickstream data analysis
2. Sentiment analysis
3. Market basket analysis.

Most of us know 1 and 3 and its importance. Item number 2 is the new kid on the block that will impact the success of exercises that are being done from analyzing the data from items 1 and 3.

Sentiment Analytics help us understand the sentiments of customers and the associated audience feedback. Companies have started tapping into the internet and there are very successful case studies of how companies have reaped rich rewards from just this one exercise
IF we can expand this to go beyond just sentiment analysis to other areas such as buying experience, product experience and even look at wishlists etc, we will be able to leverage the voice of the customer beyond just corrective course and target marketing.

If we are to look at the next big thing, Social Analytics is one of them.

Posted August 27, 2009 9:33 AM
Permalink | 1 Comment |
Today is a very significant milestone for Microsoft, a preview of Madison has been released today. The official announcement states

"Microsoft's technology preview of Project "Madison," Microsoft's new massively scalable data warehousing solution, is now available to select customers and the feedback we've received from participating customers to date has been excellent. Ten customers from 7 industries are already participating in Madison's first technology preview, and these early adopters are delighted with initial performance results. Participants are loading data at rates of 1 TB per hour and processing query executions at over 1.5 TB per minute. Microsoft has successfully ported DATAllegro's MPP data warehouse onto SQL Server 2008 with Windows Server 2008 as the operating system, enabling queries to run up to 5 times faster on the new port."

What is exciting about this is

1. Microsoft joins the Appliance race. Another big player
2. Madison uses massively parallel processing (MPP) to deliver the high performance and scalability on SQL Server 2008, Windows Server® 2008 and industry-standard hardware, which means another merger or acquisition is in the wings in the industry for a hardware vendor.
3. A new platform for "BING" to expand the search and search related products is in the making with Madison.
4. A Windows based appliance offering is worth a look.
5. Microsoft OLAP solutions will now have a more robust platform to scale and perform.

What is not so exciting about this

1. Can we add another entrant to the "crowded" market for Appliances?
2. Would customers trust the Windows based solution over Linux?

The big question is the lifetime Cost and Value.

all said and done, it is worth taking a look at.

Posted August 25, 2009 2:05 PM
Permalink | No Comments |
With Netezza's announcement this morning about the "true" adoption of commodity platforms and a new analytic appliance, we are seeing "trade wars" between all the Data Warehouse Appliance Players. A gentle word of reminder to all the vendors, we live in a large world and are driven by the customer needs, this means everybody has a share of the market pie.

I welcome the spirit of competitiveness amongst the players like Netezza, AsterData, Kognitio and Greenplum. The more these technologies mature, the more disruption they will cause in the marketplace. A true measure of success is not where Gartner positions these companies, but in how organizations will adopt these technologies. The day is not far off when these technologies will be the true platform for executing business intelligence and data warehouse development.

We will now watch how Microsoft, Oracle, IBM and Teradata position themselves. Will HP push Neoview or become more aligned with Oracle and other DBMS remains to be seen.

The world does not stop here, with IBM acquiring SPSS, the Analytic Appliances field has opened up for new players such as QIMAnalytics(www.qimanalytics.com) and even established players like KXEN to provide zero footprint software appliances for analytics exclusively.

Underneath all of this is the quiet energence of OpenSource especially Linux as a BI platform for OS. This is noteworthy to mention and will build more marketshare in the next year.

Oracle has made a number if critical acquisitions this year and we will wait for OpenWorld to get more announcements.

As a concluding note, while all this is happening, we also have a new methodology to manage the integraton of this hardware, software and storage, Inmons DW2.0. A number of significant companies are adopting this approach and reaping rich rewards. As we move to the new technology integration, this is a methodology worth considering.

Posted August 4, 2009 10:55 PM
Permalink | 1 Comment |