Webcast – Evolution of Model Governance in Banks

BRIDGEi2i has developed a Pokémon Dashboard, which encourages you to Keep Calm and Go Catch’em All. The dashboard allows you to choose the best Pokémon based on a combination of two critical abilities.

Your friend has an awesome pair of boots that you wish you had. But the product in the site she bought from is sold out. What do you do? Where do you get the same pair of boots? Are there anyone else selling the same pair of boots? Are there better ones out there?

The hospitality industry caters to millions of people worldwide. It is the largest industry in the world, generating colossal revenue…

Leveraging the extensive experience with Financial Institutions, BRIDGEi2i has developed a model risk management platform, M². M² provides complete control and visibility over model performance and health with in-depth monitoring metrics for evaluation. M² effectively incorporates governance workflows to manage models across its entire lifecycle from development to retirement.

I am among the millions of worker bees that have made their homes in gargantuan hive like structures stylishly called “gated communities”. Through these arrangements, we hope to keep the big bad world at bay and the hope is that within the four walls will emerge an idyll that will rival the Promised Land. Safety and Security is paramount in the minds of the gated community denizens and therefore a massive investment has gone into the security infrastructure. On a day that my city observed a Bharat Bandh, there were actually barricades, sand bags and flag marches by our private army of security contractors!

During my school days, I remember one of my teachers saying “Science is everywhere.” Today we probably relate more with “Analytics is everywhere.” Sports is no exception. In the past decade, there has been a major drive for sports to become data-driven.

17th January, doomsday in the History of Competitive Sports. Lance Armstrong’s confession raised a question mark on WADA (World Anti  Doping…

The advent of ‘big data’ has completely changed the way businesses can harness the information about customers to make powerful business decisions. Data could be of any type – campaign information, customer demographics, individual transaction behavior, interactions on social networks, web usage, or satisfaction surveys etc. In this infographic, we highlight the impact of customer experience on business outcomes and BRIDGEi2i’s customer intelligence solutions.

Data driven customer intelligence is a fairly evolved science. Enterprises have sunk enormous investments in sophisticated data mining algorithms and the associated infrastructure in order to be able to identify the cream of their customer portfolio. As a result, these companies have a pretty good handle on who their high value customers are, what they like, where do they live, what will they spend on, when they will sneeze etc.

This information is leveraged massively to tease out the last dollar from the wallets of the high value customers by bombarding them with offer after offer, day after day. Alas, unable to withstand this battering, some customers run for the hills, never to return.

EARTH HOUR is a fascinating spectacle. It is quite astonishing to see such a powerful symbol showing synchronization of intent on such a massive scale to conserve what’s left of our beloved planet.

Take a look at BRIDGEi2i’s infographic highlighting seven major retail analytics trends impacting the industry and shaping the future of the retail space.

In the relentless pursuit of competitive advantage, companies have adopted data driven decision making in a big way. A big manifestation of this is the proliferation of predictive models that are being deployed to lift business outcomes in a whole host of applications.

These range from trying to understand customers, segmentation and targeting, propensity to buy, forecasting, etc. etc. A typical firm would use 20 – 400+ models depending on portfolio size, number of products and analytics maturity.

Just like any other Tableau junkie out there, I am hooked onto the premise of Tableau Public – a free tool that lets you use any data across the web (the only limitation being they should be fed from a flat file) and create beautiful, interactive visualizations that natively lend themselves to social engagement.

Model Monitoring is a branch of governance and regulations theory defined for financial services. It is proven that unregulated and ungoverned business often leads to inefficiency. More precisely, it studies the effects of changes in the internal and environmental systems at the macroscopic scale by analysing the collective motion of models using analytics. Though there are many important model monitoring principles that govern the behaviour of models, the most critical principles are defined in three basic laws of Model Monitoring,

A Recommendation Engine plays a vital role in increasing the chances of a user buying a product. In today’s world, with tons of data from searched products available (thanks to the digital data explosion), it is very easy to find what people are likely to buy – just by looking at their ‘intent’ data.