Reltio
FEBRUARY 12, 2019
Focusing on the modern way to organize master data, the upcoming Modern Data Management Summit 2019 is the best event to learn about big data analytics and machine learning to deliver personalized customer experience through 360 customer profile. Sounds impressive? Don’t just take our word. Discover yourself.
Reltio
MARCH 25, 2019
It was interesting and made sense that the keynote would focus on the need to be experimental with data-driven decisions and insist that companies follow the dictum that “ Principles Lead and Rules Follow”, underlining the need for ethical data use by organizations. Reltio was a Platinum sponsor at the event.
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Reltio
MARCH 11, 2019
The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. Reltio was the Diamond sponsor and host of the event.
Reltio
FEBRUARY 18, 2019
Digital transformation, big data analytics, and machine learning – the buzzwords echoing the Healthcare & Life Sciences industry signify a new era of delivering connected and personalized customer experience through 360 customer profile. They change with time and life events.
Reltio
FEBRUARY 6, 2019
There will be three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. This year’s theme “ Organize Master Data. As a data professional you face the convergence of mega-trends around Customer 360, AI, Big Data, programmatic marketing, ABM, and globalization.
Reltio
OCTOBER 8, 2019
Can you give an example of when things had not gone so well on an MDM project; how you and your team managed to fix things and what you learned? . We were running a data quality project for a company that was trading in about 10 different countries around Europe and buying the same products – often from the same suppliers.
IBM Big Data Hub
JULY 13, 2023
This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Effective data security protocols and tools contribute to strong data integrity.
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