Unify Your Data & Predict Your Outcomes Using AI
The sheer volume of data being collected from numerous channels creates the need for a good data management strategy. In fact, according to a leading global analyst, an organization that uses strong data governance in addition to data preparation practices can generate up to 70% more revenue. However, according to Harvard Business Review, only 3% of company data meets basic quality standards.
For any organization to be competitive and relevant today using all the advantages of advanced analytics, it needs to ensure its data management and analytics strategies run hand-in-hand.
Watch this webinar, to hear TIBCO Solutions Consultant Ashwin Datla present the steps necessary for determining an effective data management strategy that:
- Provides the maturity of a full-fledged set of data management capabilities: data quality, data security policies, and governance
- Includes a master and metadata management program for logical, secure, cloud-native data warehousing
- Sets out an advanced analytics strategy that takes into consideration critical capabilities defined by Gartner’s Critical Capabilities for Data Science and Machine Learning Platforms report
Passionate about integration, API management, and all things digital, Ashwin uses his experience working with partners and implementing TIBCO solutions in industries like healthcare and oil & gas, to help customers solve their toughest challenges.