Bad data is arguably the most significant challenge faced by banks and large financial enterprises. According to Baker Tilly director Ollie
Dirty, unstructured structured data, dozen-plus name variations, and inconsistent field definitions across disparate sources. This can of worms is an almost
If the thought of address matching across half a dozen sources has crossed your mind before, you know it is anything
Any data professional will agree that having accurate, clean, and consistent data is critical for meeting business objectives. And yet, you
According to Lucidworks, a technology research specialist, about 7.5 sextillion gigabytes of data is generated worldwide every single day. Out of this data,
Consumers interact with a brand through hundreds of touchpoints across devices, platforms, and channels. During the buyer’s journey, consumers use 3-4
Data compliance standards (such as GDPR, HIPAA, and CCPA, etc.) are compelling corporations to revisit and revise their data management strategies.
Data cleansing and data preparation are not the same. When you are cleaning data, you are removing inaccuracies, invalidities, and junk
Table of Contents What is householding? Have you ever received multiple copies of the same mail from your bank, insurance company
The most important characteristic for any organization is not data, it is quality data. In a study, IBM estimated that bad
Duplicate data is a serious problem that affects an organization’s insights, eats up expensive storage space, messes up customer information &
Real-world data will always have incomplete or missing values, especially it is gathered from several sources. Incomplete data can result in
Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime.
Access to accurate, complete, and timely data is critical in the healthcare industry. It impacts patient care as well as government budgets for the
More than 70% of revenue leaders in an InsideView Alignment Report 2020 rank data management as the highest priority, yet, a Harvard Business
Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial institutes must