Gartner recognizes four maturity levels of data analytics: descriptive, diagnostic, predictive, and prescriptive. the first and maybe second maturity levels, the ultimate goal is to reach the upper levels. However, the predictive and prescriptive analytics are linked to the AI capabilities we discussed before.
Prashanth Southekal shared his insights regarding predictive analytics in business. The key takeaways were:
There are several insight sources: intuition, science, data, and russia whatsapp number data analytics. Four key components in data analytics are algorithms, data, assumptions, and ethics.
Predictive analytics makes predictions about the future with historical data.
Five key criteria for selecting data analytics projects are improving business performance, practicality, relevance, the applicability of data analytics concepts, implementation, change management, and quantifiable business impact.
Part 3 is the last part of this article. In conclusion, I strongly advocate for the invaluable experience of engaging in face-to-face interactions with leading data management experts at live conferences. These interactions are not only an excellent opportunity to acquire in-depth knowledge but also to stay abreast of the latest industry trends and innovations. Additionally, they offer a unique platform to gather fresh ideas that can be effectively implemented within your organization, driving growth and fostering innovation.