The pace of new data creation has grown exponentially in recent years with more information available via the cloud, mobile devices, social media and integrated solutions. How exciting it would be to include that data in your organizational decision-making and processes! Data Management software and tools enhance your overall strategic vision, but they are only an enabling force that can determine the success of failure of your strategy.
The closer aligned your data management model is with your overall organization strategy, the better positioned you are to leverage your data for competitive and operational advantage. Evaluate your data management scope, policies and processes across these five dimensions for a well-rounded approach. Each dimension affects not only your internal operations and performance! It also directly impacts your customer relationships and service delivery.
Scope of your data landscape – Information is everywhere these days, and data integration tools are making it easier to enrich analytics models and enhance decision-making. Take care to make balanced decisions about which data is most valuable to your organization, however, because each data source is a data management investment long after it is initially added to your data portfolio. Too much data can actually be a hindrance! Things to consider:
Regulatory Requirements – Legal and governmental rules, policies and laws drive industry-specific needs. A smart data management plan can reduce the time and cost to meet specific data retention, customer privacy, reporting and business continuity requirements. Things to consider:
Business Continuity and Risk – Whether the issue is intermittent access interruptions and delays or a major system outage, hiccups in data availability can have major impacts. As databases and analytics tools become more accessible to end users and analytics engines provide more immediate results, the impacts of outages start to resonate further and further down the value chain. Evaluate the value of data and the impact of a lack of that data on your processes, employees and customers. Focus your energies and resources on continuity and disaster recovery for your most critical data and develop a tiered approach for less essential data. Things to consider:
Pace of Decision-Making – The latest data management and analytics tools have shifted decision-making to the front line. Faster and more robust access to useful information drives dynamic pricing decisions, purchase decisions and supply chain management. Differentiate the systems and data sources needed to support your organization’s transactional processes from those used for offline analytics and reporting. Things to consider:
Lifecycle of your data – Without a data lifecycle plan, you will have ever-growing databases and an ever-widening scope of data options. Not only is this glut of data confusing, it also comes with a lot of overhead and management costs, such as storage space, data governance and IT management. To avoid spending time and energy on things that no longer have a strong ROI, determine the expected lifecycle as you add data sources to your model and manage out expired or no longer useful content. Things to consider:
Dell Data Management Solutions
Dell was recently lauded for its novel approach to building and recommending enterprise IT solutions to customers by CIO Magazine. By focusing on “What problem do you want to solve?" - as opposed to hardware or software product or packaged service – Dell can deliver the best possible solution for your needs.
Learn more about Dell’s end-to-end data management solutions.