In Financial Services, can we measure Accuracy of Customer Data with Artificial Intelligence?

Accuracy measures the degree to which data represents the real-world entity in this case a person, organization, or Source from where we know it has originated. Measuring data quality is possible if t...

Analytics in Banking

BigData Lake for Financial Services - Need to stress on Platform Governance

As Banks and Insurance firms have already embraced Data Lakes for their Artificial Intelligence and Machine learning capabilities, it is important to look for continuous Return on Investment on the pl...

Analytics in Banking

Ten steps to a maturity assessment driven Data Strategy, for your Bank

Here are ten steps to defining a data strategy based on a data capability maturity assessment, for a Financial Institution Identify and Simplify Maturity models, and customize the yardstick as well a...

Data Management 101

Agile Data Governance can asist Banks, by maximizing data management benefits

Now, with Most of us managing and Governing data from distributed locations and with remote workforce (specially from homes); are we moving away from past apprehensions that Data Governance can happen...

Data Management and Governance

How can Banks can leverage Agile Data Governance for better outcomes

Now, with most data offices Governing data from distributed locations (especially from homes); are we moving away from past apprehensions that Data Governance can happen only when planned and co-loca...

Data Management and Governance

Data Offices assist in Kick-starting rapid shifts in Digital Banking

Slowly yet steadily, Banks are seeing customers (including ourselves) picking up services that have distinct digital capabilities. The mechanics of customer interaction has rapidly shifted from phys...

Data Management and Governance

Pace your BCBS compliance, within the limited time, to a success

I was just having a casual conversation with one of my friends over the BCBS implementation in his Bank. We were in fact discussing on where Data Governance and Management in the industry is today. Wh...

Overcome common Data Ownership challenges as stated by PRA

The Prudential Regulation Authority (PRA) has completed reviews of the internal model approval process (IMAP) to assess the quality of data that underpins the validity and integrity of the internal go...

Are you late to Data driven Business model transformation?

Is your organization looking to transform its business model emphasizing Data Driven environment or Data Monetization as its primary driver? Does this call for a transformation of the current business...

Is this the right time to create a maturity model for your Data Governance Division?

There is no one model fits all for maturity assessment. Maturity model is a powerful technique that can be leveraged by organizations to help assess themselves against external and internal benchmarks...

Overcome common Data Governance challenges that your organization faces right now

Do different types of data require different levels of governance? The need is growing for enterprises to leverage disparate internal and external data sources to satisfy growth strategies, reduce ris...

Know your Processes to Guide your Data Governance to Success

What aspects provide a holistic view of data? The information environment comprises Data, Processes, People, organizations, and technology associated with it. A good operating model covers all these a...