Data Management

What is information architecture? Structuring content for maximum value

Information architecture ensures content and data is structured, organized, and categorized in an effective and usable way, thereby maximizing the value of your websites and applications.

6 ways to harness the value of open data

A treasure trove of free information assets is dispersed across public and private institutions. Here's how can you use that data to drive business success.

Building an internal dataops team: 7 considerations for success

Advanced data analytics is transforming the way companies make decisions and respond to market changes. Here's what that means for CIOs looking to build internal dataops teams.

What is iPaaS? Integrating data flows to create new services

An integration platform as a service (iPaaS) is a cloud-based tool for linking existing applications and data flows into new services. Here are the key use cases, examples, and vendors.

6 best practices for good data governance

6 best practices for good data governance

Data governance is becoming a key strategic initiative. Hereu2019s how to ensure critical data assets are reliable, secure, and available for your business.

What is master data management? Ensuring a single source of truth

MDM is a set of disciplines, processes, and technologies for managing data about entities, such as products and customers, around which business is conducted.

CIO Think Tank: Reinventing IT

As companies accelerate out of pandemic disruption, how can IT meet increasing demands u2014 and reap unprecedented benefits? In a series of virtual roundtables, dozens of IT leaders offered key insights about the road ahead.

7 IT governance myths

Are flawed beliefs damaging your IT organizationu2019s governance framework? Hereu2019s a rundown of common fallacies that should be immediately rooted out.

4 tips for launching a successful data strategy

Becoming a data-driven company isn't as simple as amassing loads of data. If it were, more companies would already be reaping the rewards. Here, four CIOs offer their experience and advice on getting started turning data into business value.

Rethinking data management for faster time to value

Enterprises should abandon traditional ETL approaches and strategies and adopt future state architectures that distribute the data transformation burden.