The perennial Data Warehousing / BI procurement question – Should I build or should I buy?

 

As a sales person who has interacted with customers in emerging markets for a decade, one of the most frequent technology procurement decision paradigms that I have seen customers face is – should I build or should I buy? The same paradigm applies when a customer is considering deploying a Data Warehousing Infrastructure. Continue reading

 
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Data Mart or Data Warehouse? It’s all about better data management.

 

While enough has been said and written about the benefits of an enterprise-wide BI implementation, banks today are still grappling with the complexities of executing this strategy. Continue reading

 
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The right time for Indian banks to invest in BI Analytics

 

“Business Intelligence? Analytics? Isn’t that what my analytics team and I work on without the need for any new investment? Why should I invest in a new solution and wait for it to ramp up later?” These might be the first thoughts crossing the mind of a CXO of a mid-tier Indian bank when he hears these buzzwords. The answer to his questions can mostly be wrapped up in a few words – Competition, Risk management, Compliance. What else can be more important for a growing bank in a promising economy like India? Continue reading

 
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Credit cards – Yesterday, Today and Tomorrow.

 

Credit cards, the laminated shiny piece of square plastic that each one of us carries is over 120 years old as a concept and over 70 years old as reality. Continue reading

 
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Competition, Customer Acquisition and Business Intelligence

 

Competition is the nerve-wire of any industry today – right from banking and financial services to manufacturing to retail, telecommunication, hospitality and business services. Continue reading

 
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From Risk Management to ‘Intellisense’ Risk Management – a bank’s perspective

 

This post talks about risks associated with information and system. However risk can arise from several other sources, including people, business model or place. Continue reading

 
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Diminishing Marginal Returns of Data. Giving just the ‘right amount of data’ to the end user

 

The Finance industry, like the Retail industry, is loaded with tons of metrics and dimensions. Banks have terabytes of data and any analysis that a business leader wants, can be viewed in different forms/formats. There are multiple ways to represent the measures and insights drawn from any data, but doing it in the simplest and easy to adopt way is where an analyst’s success lies. In the long run, customers are ‘wowed’ by the usability / value of an insight than by a fancy presentation layer, and are happier tracking simpler business metrics for their business levers than looking through a sea of columns to get additional insights with ‘perceived’ less value.

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Bankers’ perspective of BI

 

Not very long ago, senior bankers in India took pride in informing their clients, employees, competitors & vendors about how their bank is equipped with top-notch ‘rocket scientists’ (aka Analysts), who work on the bank’s current / future challenges and opportunities, using next-gen, complex statistical models and providing solutions using extremely sophisticated and complex software. Continue reading

 
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Proactive Data Quality – Self-healing Adaptive Code Framework

 

Data Integration practitioners often handle large magnitudes of record loads constituting complex business relations. In the ever changing world in which we exist today, even the best of the breed business analyst cannot foresee the content of reference data to be handled. Continue reading

 
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Real value of BI in $ terms – a way forward

 

The single ‘source of truth’ of information in a bank is an Enterprise Wide Data Warehouse. Customer transactions stored in the core banking systems have immense value – it is just that a smart team or ‘box’ is required to ‘see’ the patterns to derive benefit out of such information.

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