Big data forces you to wrestle with three key strategic and operational challenges:
You need to harness the power of information assets. Big data is causing enterprises to find new ways to leverage information sources to drive growth.
You need to draw more insight from your big data analytics or large and complex datasets. You need to predict future customer behaviors, trends and outcomes.
Information is everywhere - volume, variety, velocity - and it keeps growing. You need to manage access to growing extreme information management requirements and drive innovation in rapid information processing.
Are you trying to figure out how your enterprise can benefit from big data and why it's important? Don't get left behind. Uncover the business opportunities you can derive from big data. You need to make the strategic decisions that will transform your business.
Is your organization prepared for an information-led transformation? How will you harness big data to improve your strategic decision making? You need to know which investments will deliver the most business value and ROI.
How will you govern your organization's information assets in support of your enterprise information management (EIM) goal? Are there new expectations for information quality and management?
By 2015, Gartner predicts that 4.4 million jobs will be created around big data. Does your organization lack the "data scientist" talent required to exploit big data? How will you assemble the right teams and align skills?
IT is under pressure to tap into growing quantities of data to help the business make better, informed decisions by combining new sources of big data with existing enterprise dark data. How will you uncover more customer and business insight and more data value?
How are you using data for predictive and real-time analysis across various business domains? How can you use unstructured enterprise information and data to drive a better client experience? How are you leveraging new data types: sentiment data, clickstream data, video, images and text data?
How will you tap into complex data sets to create new models to drive business outcomes, decrease costs, drive innovation or improve customer satisfaction?
What new business analysis can be drawn from your data? How will IT help support insight discovery and new information trends? You need to know which data to integrate for new product innovation.
What are you doing with all of the data your organization collects? You have many data disparate sources – from your enterprise's "dark data" and partner, employee, customer and supplier data to public, commercial and social media data – that you need to link and exploit to its fullest value.
Your employees are demanding more access to big data sources. What's your plan to manage access to these information sources? What are the use cases?
How can you deliver access to big data in a rapid and cost-effective way to support better decision-making?
How will you link these new sources of diverse data? You need to plan the impact on your data center. Have you identified the processes, tools and technologies you need to support big data in your enterprise?