Intelligent Data Analysis
The Cloud & Big Data
Business today runs on data: data about customers and transactions, data about markets and trends, data about internal operations, data about logistics and supply & Demand, Inventory and logistics
As the volume of data grows, businesses are using the power of the cloud to gather, analyze, and visualize data from internal & external sources to dissiminate and act to improve business performance on many fronts
What Does it Mean To The Enterprise
• Integrate and Consolidate: Big Data in the cloud yields fascinating real-time insights about consumer behavior and the market externally. Your internal proprietary data contains the unique transaction history between customers and your business. Combine the two and you can deliver targeted, personalized experiences at every point of contact. The problem? Most legacy systems weren’t built for real-time performance and don’t share data well. Integrating through cloud systems facilitate data consolidation
• Analyze and Anticipate: Data comes in waves and peak loads can occur at unexpected times. Stand-alone systems can experience problems that delay delivery of key insights and interrupt smooth operation of key processes. The elasticity of the cloud allows scaling up instantly to deliver online data. Customers only pay for that capacity when it is required. Online data enables educated online decision making.
• Visualize and act: Data needs to be clear to be actionable. If the output is via delayed complicated and sparced reports and interfaces that requires technical skills to configure map and customize, insights get lost or stuck at levels preventing real-time meaningful outcomes. Today, Cloud-based data platforms enable presenting data through familiar, widely used business tools that enable people at all levels to easily understand data and act on moving targets trends quickly.