IBM: Data governance for data-driven organizations
Master your data management
Data Governance is defined as the framework that ensures data used within core business operations, and reports is protected. Business leaders know that data is important and they need to make sure that data within their organization is trustworthy and consistent.
This whitepaper from IBM looks at common governance challenges businesses face and then covers the building blocks of an effective data governance approach and the technology needed to build an automated integrated layer.
Successful data governance supports business intelligence and data analytics. If you get this wrong, then your decision accuracy might be compromised, which in turn could significantly impact your bottom line.
Download this whitepaper today and get tips on how to create your ideal governance solution.
Provided by IBM
Sign up today and you will receive a free copy of our Future Focus 2026 report - the leading resource for IT decision-maker insight on priorities and investment areas in AI, security and more.
ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.
For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.
-
The case for the channel in an AI-driven security marketIndustry Insights AI won't replace channel partners; SMB cybersecurity still relies on trust
-
Cisco just launched two cyber-focused small language models: Antares-350M and Antares-1B aim to supercharge codebase analysis – and they run at a “fraction of the compute expense” of popular frontier modelsNews The Antares models unveiled by Cisco aim to cut costs in codebase analysis
-
Cyber professionals are flocking to AI tools, but they’re getting tired of fixing mistakes and reviewing outputsNews Cyber pros are spending significantly more time validating AI outputs and deciding when to trust AI-generated recommendations
-
'It’s a marker of where extortion tradecraft is heading': Cyber experts say they've identified the first case of ‘agentic ransomware’ – but there’s a catchNews While the JadePuffer ransomware has alarm bells ringing, it still needed a human in the loop
-
‘Traditional patching cannot keep pace’: Palo Alto Networks joins IBM’s Project Lightwell in bid to shore up software securityNews With traditional patching no longer able to keep pace with threats, the trio aims to create an automated "shield-and-fix" architecture
-
Three quarters of firms have halted AI projects over safety and security concerns – and cyber pros think things will deteriorate as models like Claude Mythos improveNews AI has become a leading problem for enterprise security teams, they can't automate their way out of trouble
-
OpenAI expands 'Daybreak' cyber program: New tools, partnerships, and a cyber-focused GPT-5.5 aim to help 'patch the world'News The company has added new tools, signed up partners, and released its GPT-5.5-Cyber model more widely
-
IT teams are bullish on AI tools, but they’re worried security practices can’t keep paceNews Executives and IT teams are at odds over the risks associated with AI adoption

