CIO Business Intelligence
FEBRUARY 16, 2023
Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.
Ontotext
JULY 13, 2023
Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Sisense
JULY 22, 2020
Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.
IBM Big Data Hub
JUNE 26, 2023
Facing challenges, Yanfeng Auto’s approach is to work with companies like IBM with advanced technology, industry experience and technical expertise to accelerate its own data-driven digital transformation to reduce cost, improve efficiency and scale for company-wide innovation.
Alation
OCTOBER 28, 2021
Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives. Remove Low Quality, Unused, or “Stale” Data.
Expert insights. Personalized for you.
103 
Let's personalize your content