We live in a data-driven world. The amount of data/information generated, gathered, copied, and consumed is forecast to reach 180 zettabytes by 2025. With this rapid expansion comes tremendous opportunities for organizations to gain actionable insights to improve business outcomes. However, to realize the full potential of data, comes the need for effective data…
A comprehensive data analytics strategy gives financial firms a competitive edge, helping them inform decision making, drive overall financial performance, and improve business outcomes. The fact is, all types of financial firms, from banks to investment companies, are finding new uses for analytics while optimizing proven use cases. You’re probably leveraging analytics for some…
A data management strategy is the process of creating a plan to handle the data created, stored, managed, and processed by an organization. This roadmap ensures that data management activities work together effectively and efficiently to meet business goals and objectives. Here are some critical steps for creating a data management strategy along with ways…
Reconstructing analytical data is the essential process of restoring, recreating, or rebuilding data from partial or incomplete information. The process is needed when data has been damaged, lost, corrupted, or fragmented, yet the original information is needed for data analytics or other business processes. Data reconstruction is necessary in various scenarios when data is…
As any successful company knows, data is the lifeblood of the business. But there’s a stipulation. The data must be complete, accurate, current, trusted, and easily accessible to everyone who needs it. That means the data must be integrated, managed, and governed by a user-friendly platform. Sound easy? Not necessarily. One problem that organizations…
