Although organizations are taking steps to manipulate data into insights, global surveys showed that businesses are still struggling with the quality of data and the problem of obtaining the right resources to turn these insights into the true value and become more data-driven.

Expectations are that data analytics will create new possibilities, but we are still in the early stages of its development. Every organization seeks to create value, leverage opportunities, and avoid threats but only the quick-thinking and profitable organizations know how to effectively make use of their available data to unlock these insights and be ahead of the competition.

What will be covered:

Data and Analytics: Past, Present, and Future
How big is the Big Data
Driving force for Digital Transformation
IoT Analytics, DataOps
The influx of Data and Real Business issues
Poor data can cost businesses 20%–35% of their operating revenue
Security and Privacy in IoT
Legislation dealing with nonhuman entities
Self-service with lack of Governance
Waves of future
Data Visualization to Business Outcomes
AI and Augmented Analytics -> Predictive to Prescriptive
Self-Service moves to Self-evident
AI, BI, and Data – who’s going to win
BI and AI are indispensable
Well-governed and centrally managed data wins
2020 to 2025 Data Management predictions
AI, NLP, Data Governance
Specialization of Job Roles
Analytics / BI / Data Management Solutions
Quick Peak into Leaders Quadrant for Analytics and BI Platforms, 2019
Critical Capabilities of an Analytics and BI Platform