The development of Artificial Intelligence and Data Protection domains are largely dependent on the economic and societal needs. While Artificial Intelligence develops better customer services by wrangling trillions of BigData and learning from it, data protection is poised to build trust in people to share data with Organizations. A recent surve...
09 August 2020 /regulation /retail Artificial Intelligence and Financial Services
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 the characteristics of its physical and contextual existence are well understood. These characteristics of data can be translated into data quality rul...
02 August 2020 /regulation /identity Analytics in Banking
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 platform. If a Data Lake is not well maintained, it can turn into a swamp while finding usable data can confuse the data consumers. Most challenges can ...
26 July 2020 /sustainable /devops Analytics in Banking
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 as benchmarks based on local study and future organization strategy Conduct workshop with leaders and grassroots to sensitize the assessment and questi...
19 April 2020 /regulation /retail Data Management 101
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 only when planned & co-located? It's possible to say today that – 1. Data Governance can be change-driven, with bursts of iterative outcomes 2. W...
07 April 2020 /sustainable /covid-19 Data Management and Governance
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-located? It's possible to say - 1. Data Governance can be change-driven, with bursts of iterative outcomes 2. We can in-fact govern data in an agile way ...
04 April 2020 /retail /sustainable Data Management and Governance
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 physical handshakes to virtual yet warm communication over personal & extended channels. However, managing Data Quality of customer data along with Z...
03 April 2020 /sustainable /covid-19 Data Management and Governance
Data Management and Governance
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