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Whether an organization utilizes a data warehouse, data lake, or data lakehouse, a centralized data platform is essential for harnessing the full potential of an organization’s data assets. The strategic utilization of data has become vital for informed decision-making and sustainable growth.
By consolidating internal and external data sources into a centralized repository, a governed data platform ensures data integrity and builds trust. A governed data platform not only provides an organization confidence in understanding their business today, but combined with predictive modeling and AI, an organization can gain insights on how their business will perform in the future. With Infoverity as your partner, organizations can empower their stakeholders at all levels to make strategic decisions grounded in comprehensive, reliable, and trusted information.
Infoverity’s Data Intelligence practice will help you create a centralized repository for storing, governing, and managing data from various sources. Storing data in one place allows an organization to see and measure their business in new ways.
By connecting historical data and third-party data with their current business, data organizations can gain a deeper understanding of trends, patterns, and business performance metrics. This empowers users to extract valuable insights and make data-driven decisions that foster business success.
Infoverity helps businesses optimize their data pipelines and models for efficient data retrieval and analysis. Critical data should be organized and cataloged so that users can access information at the speed of your business.
The reliability of results from advanced analytics is dependent on the integrity of the underlying data. By establishing a trustworthy data source, the accuracy of machine learning models is enhanced and allows for the cultivation of an environment where insights flourish.
IT executives called out data warehouse modernization (53%) as their highest priority, followed by support for real-time analytics (49%). (Source)
When asked what summarized the primary improvement required for their company’s data warehouse in 2021, two important reasons took the lead: to easily scale to support more data and users (31%), and to support processing in the cloud, on-premises, and at the edge in an integrated way (28%). (Source)
