The Role of DataOps in Innovation DataOps Success in the Data Economy

Data-driven innovation requires fast and secure access to enterprise data for anyone who needs it. DataOps methodologies provide the framework for improving speed and usefulness of data for innovation while complying with data security policies and laws. DataOps accelerates the adoption of transformative technologies, such as cloud, artificial intelligence, and machine learning furthering your ability […]

Using Data Management to Solve Real-World Challenges

You may know some basics about data management, but do you realize the transformational results data-management-done-right can produce? This paper explains core data management capabilities, then describes how a solid data management foundation can help you get more out of your data. From getting fast, easy access to trustworthy data to making better decisions and […]

Three Reasons Why Chief Data Officers (CDO) Need Data Transformation

We’ve talked to 100’s of CDO’s, CIO’s, and chief data leaders and have heard there are three primary data bottlenecks that impede digital transformation: a lack of continuous intelligence, data silos between business and IT, and data that doesn’t help prioritize. This article explores the “flywheel effect”, and the ways CDO’s are playing a pitiful […]

How to Improve Quality, Richness and Analytics of Data Lake

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 […]

Create Customer-Centric Responsive Products with Big Data Analytics Solutions

What are you doing to improve your customer’s products usage experience? Data-enabled solutions enable software companies to deliver data-led customer-centric experiences, and gain operational scalability—providing application strategy and methodology is planned according to business needs. Read on this article to learn what place data applications have within the software development industry.

How to Build Cloud-based Data Analytics Platform to Support End-to-End Data Journey

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 […]

Mastering Full Lifecycle API Management with Data Analytics

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 […]

Relationship between Business Intelligence (BI) and Advanced Analytics (AA) Capabilities

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 […]