“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data, but they critically need to generate insight from their existing data. Sohow should IT Managers and Decision Makers generate those insights? Businesses need to stop merely collecting data points, and start connecting them. In other words,
“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data, but they critically need to generate insight from their existing data. So how should CIOs and CTOs generate those insights?
Although traditional methods of fraud detection help minimize risk, increasingly sophisticated fraudsters have found a variety of ways to elude discovery. Graph databases offer new methods of uncovering fraud rings and sophisticated scams with a high level of accuracy and they’re also capable of stopping advanced fraud scenarios in real-time. This whitepaper discusses: * 3
Your Master Data Management (MDM) program is likely to use a mature, highly tuned, relational database (RDBMS). It makes sense to keep your master data within the relational database considering that’s where most of your data is too. But what if the data relationships need to be managed as well? This whitepaper discusses: * How
‘Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture.’ – Gartner Research Sustainable competitive advantage comes from the knowledge of relationships in your data. A relationship (or ‘graph’) based database stores, manages, analyses and uses data within the context of connections