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March 11, 2010

Advanced Analytics in Corporate Banking...

This is in continuation of the Advanced Analytics blog that appeared sometime ago.  Here I tried to present a business scenario on how it is applicable for a well known space called Corporate Banking.
Let me highlight some of the aspects that are relevant for the Corporate Banking.  We have lot of participants like Customer Relationships, Portfolio Managers, Product Managers, Regional Managers, Risk Managers, and Finance Managers, who are all interested in different aspects of the customer relationship.  Everyone wants to understand their own piece of thing, wants different reports in an ever changing environment.  But all are interested in digging through information that has single version of truth.  Added to this complexity, in Corporate World, companies get acquired and sold quite frequently.  This changes main information called customer hierarchy.  Interest rate fluctuations, and currency conversions also keep changing. 

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March 05, 2010

Data is an asset

    Data is an asset for an organization. We have heard this data management principle multiple times. It has been clichéd to the core but most organizations fail to understand the true meaning of this principle. Let me try and explain this by using an analogy. Let us take an equally clichéd analogy of a car to look at this principle from a new perspective.

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January 28, 2010

Analyzing Analytics

If your wife adds (if you are the lucky one) additional 1/2 tea spoon sugar in your bed tea, can you imagine what would be the impact on your blood sugar level and to maintain the ideal balance with calorie count how many extra steps you’ll be running. Mass penetration of internet and ever increasing health consciousness in society has ensured that everyone has easy access to appropriate diet charts and general health tips such as above are addressed to some extent. However, healthcare providers around the world who are facing the pressure of patients and healthcare authorities to improve quality care with no complications, seek an analytical solution to empower them with robust tool to analyze data and regularly identify patients at risk.

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January 25, 2010

Information Management Roadmap guidelines

You can notice Information Management (IM) space is quite hot these days.  There are multiple tools coming into the market to put the power of knowledge in the hands of business users.  These are also coming to the aid of IT Teams, in reducing their workloads, and enabling them to focus more on the data and information governance aspects.  But quite often we lose track of the important principles that we need to follow.  Albeit these are not quite difficult to follow, but are essential. 

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January 13, 2010

Advanced Analytics: An Intro

We have already gone thru a long cycle in IT, starting from application development, implementation of off-the-shelf applications, Datawarehouses and Business Intelligence applications.  Industry is focussed more on Analytics now.  Analytics take the top most in the BI Space, when it comes to kind of insights and the value it adds in decision making.

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Credit Crunch BI

Economic downturn has caused many upheavals in the Corporate world.  This also resulted in significant shift in Corporate priorities.  As you all know one of the first items to be trimmed happens to be the IT Budget.  This places tremendous pressure on the CIOs.  Most of the IT Surveys done in 2009 show that BI, Server virtualisation, ERPs, Portals and EAI are the top priorities for CIOs, in the same order.

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Information Access

These days there are many information access tools in the market.  Corporates use Reporting tools, Business Intelligence Tools, Interactive Visualisation tools, Search platforms to carryout their information access services.

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Vendor Spend Analytics

To remain competitive, companies are focusing heavily on reducing the costs and increasing the profits.  Some of the strategies adopted by companies are in Outsourcing manufacturing, taking up assembling only, or resorting to selling only.  Vendor Spend Analytics (VSA, in short) is a concept that focuses on reducing costs.

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April 10, 2009

TOWARDS A SUCCESSFUL BI IMPLEMENTATION

Part 2: What companies should do to extract maximum benefits from their BI implementation?

A BI system implementation should aim at getting an accurate picture of the current performance of the enterprise. The BI system should be capable of responding to changes in the market. It should be able to integrate financial consolidation with the operational performance. Basically, a BI system should be able to guide the enterprise in the right direction after deriving insights from the current data that is fed into the system.

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TOWARDS A SUCCESSFUL BI IMPLEMENTATION

Part 1: Why companies fail to extract maximum benefits from their BI implementation?

When companies grow they need systems that will streamline and optimize operation performance, help them in making better decision based on data and trends and come up with strategies that are in line with the business goals of the organization. This is possible through Business Intelligence. In an effort to implement a BI system, companies either plan to (1) have a team that will be dedicated to write the software, (2) outsource the job of developing the systems to a vendor or (3) implement a product that will meet the BI requirements. Option (3) is, in most cases, better than option (1) and (2) because it can be implemented faster and in most cases will cost lesser. The most important factors of a BI implementation is to know and understand why BI is required, the goals that should be met, the strategies that will help in meeting the goals and product that will fit the immediate and the long term needs of the organization. Reports say that companies, over a period of time have purchased and implemented different BI products under different leaderships. CIOs come and go and they leave their mark in the company in terms of a product implementation or changes to the software environment based on what they feel are the best. This drains out the resources of the company and never gets them what they really want. In this article, I will try to focus on how a company can take the right steps to successfully implement a BI system that will meet the strategic business goals of the company.

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March 17, 2009

DWH Appliance – The “Time” of Data Warehousing

Fast Turtle?
For over a long period of time, the IT industry mastered the art of creating and storing information on computers. What was spectacular was the lack of interest in the building the ability to retrieve this information even quickly. The results were well known. A software engineering stream called data warehousing which purely focused on retrieving the information out of the data and providing intelligence to the business.

Funnily, for all the years we spent all the time and energy building fast commercial computers and structuring data bases to make them more powerful to accept and store the information. More funnily, we then spent a huge time, energy and money building tools to retrieve that information over the same building blocks. This was surely the Fast Turtle of the IT Industry. It took quite a while for the industry to realize that Fast Turtle is an oxymoron and not reality and that it has already happened to DWH.

What about Teradata then?

Although a relative late entry in IT evolution, Teradata did set the rules for BI appliance computing. Teradata brought in step changes in the way DWH computing was done. It did tame the Fast Turtle. But only to create a White Elephant. Way out of reach of commoners, only the fortune 500 aristocrats could afford it.

The “Time” of Business Intelligence

Inspired by the Teradata success story and sensing an opportunity for a “poor man’s Teradata’, lot of organization dreamt of and created appliances. Netezza brought in a few super computer designers from the US department of defence and created this beautiful appliance which you can stick in your golf cart and take it to office. White Cross, a quintessential British company woke up from 20 year slumber, acquired Kognitio, renamed itself as Kognitio and jumped in the market. Datalegro was not far behind, making itself eligible in the acquisition market. The biggies are now also in. IBM with its Balanced Warehouse (thought it still uses indexes and I would hesitate to brand it as a ‘pure play’ appliance), HP NeoView (Have you got silver streaks in your stubble, or hair to be more politically correct, to remember Tandem) and Oracle (don’t know what they are doing). A sigh of relief over the follies and the quick correction.

Wondering what is the fasted thing in the universe? Yes it is Time indeed. Are appliances the “Time” of Business Intelligence? Only time will tell

December 17, 2008

BI Data Marts are like Icebergs in Ocean

You must be surprised to see something like this in the Blog.  Well, we must have grown up thinking that Data Marts are the cure for all the ills plaguing the Big BI / DWs in the first place.  I am not ruling out that thinking completely, but just want to bring in some more focus towards the existence and continuation of Data Marts.

We all know that data is the lifeline of BI / DW.  In case of huge BI / DW installations, rummaging through data gets difficult, hence the concept of data marts was born.  Traditionally, Data Marts provide proper availability and accessibility to the concerned users.  Sometimes the departmental users also use analytics with the help of sandboxes.  We need to keep in mind while devising the data marts, because the data marts have every potential to turn into data management challenges, if they are not monitored properly.  The IT department has to do proper management of the same, and not letting them out of control in the hands of business users.

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December 10, 2008

How PoCs are helpful for well-accepted solutions

I am sure all of you must have come across the words Proof of Concept, and Prototyping, in BI context.  You would have come across them quite early in a BI / DW Project, where the customer is testing technology waters, and how their business users would react.  We all know that, this kind of stuff engages business users early on.

All of us have seen that a usual problem in BI / DW development is the disconnect between what the business users need and what the IT delivers.  It is difficult to find fault with either of the teams, because Business users find it difficult to express or articulate their requirements, specially the look and feel of their needs, definition of their metrics, what kind of analyses they would like to have handy.

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December 09, 2008

Agile BI in Retail Industry

In this article I am covering Retail Supermarket Industry's BI requirements.  These days, it is very common for this industry to offer Online Sales and Brick & Mortar Sales outlets. This is a high transaction volume with low margin industry.

This Industry has to put up with loads of data volumes, specially with the checkout basket data, constantly being revised products and their SKUs, stock availability data, commercial data to calculate margins, delivery van slot availability, product substitution data, customer acceptance data, customer services data, new customer master data etc.

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November 05, 2008

BI and SOA – Where is the conflict?

Many architects still believe that BI/DW and SOA are divergent Architectural paradigms and SOA is not applicable to BI. Some of the key reasons are

1.       BI requires detailed understanding of the data for adhoc analysis while SOA encapsulates data behind the service interface.

2.       BI requires high volume data being handled in batch mode while SOA serves a specific transaction which is well defined and data volume is low.

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November 02, 2008

BI – EPM market consolidation and the way forward

We all know by now that, EPM helps an Organization in efficiently using their business units, financial, human and material resources and thereby optimising business performance. It helps in bringing together all types of data / information, including both financial and operational information. Well, this data integration portion is contributed by BI. 

Businesses are run as per the metrics / performance metrics defined. Some of these metrics could be Qualitative and some Quantitative in nature. Qualitative ones capture the facets, which cannot be quantified, such as, Quality of Management, Efficiency of Employees and Confidence of Shareholders, and they are critical for the business continuity.  Quantitative measures mostly provide an objective performance measurement. 

I believe EPM covers important processes such as planning, forecasting, consolidation, where the foundation is laid through data integration from various sources, querying, analysis of the data. The underlying foundation is the handiwork of BI.

 

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October 17, 2008

CPM – Hype or a Matured BI Implementation?

Many companies have invested significant amount of money in building their Business Intelligence (BI) solutions with the ambition of being the business leaders in the market place. But when many of them look back to their investments, they realize that they have built a solution which will generate reports for them using the latest technology. They are nowhere near to their dream solution which will enable the following:
  • To take profitable business decisions based on numbers
  • Get an Enterprise wise performance view starting from Strategic to operational goals
  • Create linkage of every business actions to Strategic business goals

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BI Strategy thinking for a Bigger play

BI has evolved over time to meet growing decision-making needs of businesses. It has definitely evolved from being a basic MIS Reporting tool, to being an intelligent platform that works as a decision support system.

I would like to offer a simple definition for BI, as a data collection, data processing, information / intelligence delivery platform for all the decision-makers to gain insight and act effectively

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