Modernizing data platforms can create challenges. Although traditional data catalogs can deliver some visibility across datasets, achieving DataOps success, and delivering true value from your organization’s data will require more modern methods. If you’re looking to leverage a DataOps approach, you may want to consider the options before jumping on the traditional data catalog bandwagon. …
Analytics
Without an appropriate data strategy or advance planning, data lakes can quickly become unmanageable, particularly as businesses evolve and capture larger volumes of data. Now you’re a step closer to building a higher quality, well-structured data lake that’s fit for the future. In this article, we’ll explore how to prevent your data lake from becoming …
How does your organization’s current measurement of business metrics stack up against industry best practices? Data analytics leaders know that a cloud-based Data Analytics Platform (DAP) integrates various data sources into an enterprise-wide analytics system. This article outlines key tenants of a future-proofed data analytics platform illustrates how your business can adopt cloud technologies to …
Full lifecycle API management entails not only technology solutions but also the data-driven processes and mindsets that those solutions enable. For enterprises to succeed, it’s essential to have visibility into every stage of the lifecycle—from the developer experiences to API performance to emerging business opportunities. Data plays a huge role in aligning business and IT …
The Business Intelligence and Analytics Capabilities Report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organisations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills …
The proliferation of data forces modern businesses to continually find new and more efficient ways to consolidate and transform various data sources to make more informed decisions and gain a competitive advantage. What are the best ways for businesses to consolidate all of their data? One answer: a data lake. This option can handle the …
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes? Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the …
