Too often professionals such as Data Analysts, Data Architects, and Compliance Specialists find themselves at a loss when it comes to being able, on their own, to discover, understand and use the rich Metadata within large enterprise ERP and CRM applications. It becomes complicated, costly, and time-consuming for these users to pull relevant business-context subsets […]
The Leader’s Data Manifesto: Time to Focus on Why Data Management Matters
The Leader’s Data Manifesto, originally unveiled at the Enterprise Data World 2017 Conference, continues to generate attention from data professionals. The Manifesto counts hundreds of signatories at this point, expressing their support of its vision for data and information to be truly valued and managed as a business asset. Signers-on include Data Quality managers, Chief […]
Data Governance: A Look Ahead from the Front Lines
When it comes to Data Governance and Data Management programs, the enterprise needs to be thinking about today – and tomorrow. Data Governance leaders at financial services and planning organization TIAA are wrestling with the increasing pace of change and what its impact will be on current management and governance models. “The digital world is […]
Artificial Intelligence Has its Foundation in Good Data
Creating value and competitive advantage are two top use cases for Artificial Intelligence (AI). Now, it’s time for businesses to really get their hands on how to put it to work to those ends. Most companies are ready and willing to take it on. In the case of large enterprises, they’re looking for ways to […]
Streamlining Real-Time Data Integration and Analytics: The Struggle is Over
Data Architects and CDOs today face a variety of demands, including delivering Real-Time Analytics, predicting customer behavior, or operationalizing Machine Learning. All of these initiatives share one critical requirement: real-time data. But to get value from real-time data, they must enable continuous collection of data, and on-the-spot integration in-flight across heterogeneous systems. For years, companies […]
From Data Discovery to Smart Data Discovery: The Next Generation is Here
There’s Data Discovery and then there’s Smart Data Discovery. The former has become associated with discovering answers buried in Big Data in order to drive business value, whether to enhance decision-making, boost revenue, or improve the customer experience. Smart Data Discovery has been defined by Gartner as “a next-generation Data Discovery capability that provides business […]
Get Ready to Operationalize Big Data Apps
The Big Data Executive Survey released by NewVantage Partners earlier this year shows that close to three-quarters of the respondents surveyed believe they are getting measurable value from their Big Data and Artificial Intelligence projects, which the survey considers as extensions of Analytics capabilities. That number, NewVantage reports, is half again higher than in the […]
Graph Databases Take on New Challenges
The Panama Papers. The Paradise Papers. Human trafficking. Russian social media trolls. Self-driving cars. If you’re wondering what all the above have in common, the answer is: Graph Databases. Their ability to store data connections in the service of gaining a better understanding of relationships across nodes has been recognized for use cases such as […]
Artificial Intelligence Takes on Large-Scale Database Management
Artificial Intelligence (AI) is having a clear impact on databases. Among the major players, Microsoft is applying AI to continuously monitor Azure SQL database workload patterns and apply automatic tuning when it recognizes opportunities to improve the database performance, for example. And Oracle has unveiled the Oracle Autonomous Database Cloud, which uses Machine Learning to […]
Data Lake Management Reaches Maturity
Does this scenario sound familiar? In an organization’s quest to become data-driven and analytics-savvy, it has worked to implement a Data Lake. The initial hope was that such an organization would realize greater agility for certain use cases than was possible with a Data Warehouse – which were time-consuming to set up, costly to maintain, […]