datapine
SEPTEMBER 29, 2022
1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.
datapine
MAY 21, 2019
These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. 1) Too expensive and hard to justify the ROI of BI. 2) Lack of company-wide adoption.
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CIO Business Intelligence
JUNE 13, 2022
As with all financial services technologies, protecting customer data is extremely important. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Just starting out with analytics?
CIO Business Intelligence
MAY 20, 2022
National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.
datapine
MARCH 27, 2019
Customer data management is the key to sustainable commercial success. Here, we’ll explore customer data management, offering a host of practical tips to help you embrace the power of customer data management software the right way. What Is Customer Data Management (CDM)? Enhancing your sales efficiency.
CIO Business Intelligence
JANUARY 4, 2023
Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).
O'Reilly on Data
MARCH 31, 2020
But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Product recommendations are easy; nobody is injured if you recommend products that your customers don’t want, though you won’t see much ROI.
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