Data Lake Data Quality Technology Unstructured Data 
IBM Big Data Hub
JANUARY 5, 2023
Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.
Timo Elliott
JANUARY 3, 2022
It’s stored in corporate data warehouses, data lakes, and a myriad of other locations – and while some of it is put to good use, it’s estimated that around 73% of this data remains unexplored. But to extract it, the data typically needs to be translated into other forms, reanalyzed, and turned into action.
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CIO Business Intelligence
FEBRUARY 16, 2023
The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.
CIO Business Intelligence
APRIL 24, 2024
It’s universally accepted that to thrive, enterprises must embrace transformation through technology. The challenge of digital transformation projects lies not so much in the technological implementation, but in the operational change required of people and the entire business organization,” he says.
Cloudera
SEPTEMBER 15, 2022
Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event.
CIO Business Intelligence
NOVEMBER 28, 2023
With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.
IBM Big Data Hub
DECEMBER 16, 2022
For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. Ensuring data quality is made easier as a result.
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