Raw Data External Data Enterprise Data WHAT ... - IBM Big Data Hub
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The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different dat
Big Data Exploration The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
External Data Raw Data
Enterprise Data
WHAT DO YOU NEED TO SUCCEED?
THE RESULTS
Bird’s Eye View Visualize and understand all available data across systems and silos —both inside and outside the enterprise.
Tame Wild Big Data
Utilize Your Resources
• Reduce operational & IT costs • Achieve greater process efficiencies • Eliminate redundant systems • Leverage existing knowledge • Reduce risk & improve governance
• Improve decision making • Develop new business models • Gain market presence & revenue • Accelerate innovation • Improve customer knowledge • Increase employee performance
Useful Functionality Establish the ability to access and use big data to support decision making and day-to-day operations.
Avoid Pitfalls Identify areas of risk by understanding the full scope of all data and protecting confidential and strategic information.
Mine Valuable Information Get the most value from your data by using big data tools to separate the most useful content from the rest.
Dynamic Directions Focus employees’ productivity with dynamic contextual views of the most relevant enterprise and external content. Include important analytics in context to help drive day-to-day decisions.
Fool’s Gold? Ensure the veracity of all data and support confident decision making with enterprise-level big data management.
Discover Hidden Insights Find insights in new and unstructured data while adding important context to raw data, advancing analytics and structured operational data.
Elephant Crossing Combine data stored in Hadoop with data in enterprise and external systems to drive better insights.
