Wednesday, March 25, 2020 03:30 PM|Wednesday, March 25, 2020 04:30 PM
Roundtable: Ever Thought About Optimizing Your Data Quality Technology Spends!
Ankush Jain, Sr Principal Analyst, Gartner
Right from the latest CDO survey — enhancing data quality, reliability and access is the Number 1 key expectation on the list of Data and Analytics teams globally but ever rising costs continue to being important business problem to tackle and efficiently allocate the budget towards technology and other resources.
There is definitely a dire need to address and drive the enterprise wide cost optimization, let us discuss what we have done around cost optimization of Data Quality Technology spends with a focus on 4 things:
1. Upcoming pricing trends,
2. Licensing approaches,
3. Negotiation practices
4. Augmented data management & Capability convergence
Data Quality technology cost optimization is often an afterthought, overlooked / ignored during the RFP stages - add to this the evolving nature of contract negotiation, technology enhancements, use-case requirements which makes the cost optimization a complex phenomena.
Use these pricing, licensing, negotiation, technology automation and convergence trends to guide & safeguard your future Data Quality Investments. The savings from the cost optimizations can be then allocated towards spends for other resources like up-skilling your internal staff, hiring specialists for more advanced IT tasks and not doing Data Quality, spending time and money in linking your data quality initiatives to overall enterprise Data and Analytics governance !
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