Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
Although there are many new and emerging classes of data integration, quality and governance software tools available in the market, many large organizations are coming to the conclusion that they're best served by a single unified enterprise data integration, quality and governance platform that
Organizations are collecting terabytes of data, so it’s not surprising that organizations are scrambling to identify a data management solution that fits their unique environment. The freedom of choosing the right data source to fit an organization’s data storage strategy is the key to robust data
There’s a revolution taking place within information governance. This change is driven by the growing needs of business users, and the recognition that trusted, high-quality, easy-to-find data can be the differentiator that drives better business outcomes.
In a time when data is perhaps a business’s most valuable resource, the ability to access, protect and analyze information plays a critical role in an organization’s overall multi-cloud strategy. Here's how to succeed.
Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’
Protecting personal and sensitive data is vital. But, understanding the regulatory environment and available tools is just the first step. There are still challenges when building and managing test data environments. Here's how to overcome them.
There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality.
Some people think of master data management (MDM) purely as a platform for organizing and mobilizing enterprise information. While this is true, leading companies view MDM more as a philosophy or a set of best practices, not just a suite of software tools.
Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM EventStore is purpose built to simplify the complexity of harnessing event data with a single system. Its unique architecture