Data management maturity Are you ready for Capture Big Data? · 2013-06-18 · Data management – Getting ready for big data Example data maturity heat map What’s the challenge?
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June 2013
Areas of assessment
For a PwC Data Maturity assessment, a team of PwC data experts review all key data processes with focus on governance and quality throughout. Below are some example indicators in each area.
• Data suppliers, customers and owners are identified• Key data attributes are identified including retention, type, volume and quality• Tools and techniques are appropriate for capture methods
Transform
• Extract, transform and load processes are defined and documented• Physical and logical security is maintained throughout staging and transfer processes• Data quality checks confirm completeness and accuracy
Store
• Architecture requirements are known including security, scalability and disaster recovery• Access to data stores is controlled and role dependant• Data is available as a single, integrated source
MI/BI
• Team members are considered experts in their field and can articulate business issues• Reporting is automated, timely and displayed effectively including dashboards and mobile devices
Analytics
• Integration of internal and external data for new solutions• Fully simulated business operations to evaluate decision impact• Predictive analytics and technology boundaries are pushed to fully realise data potential
Dispose
• Compliance with ADISA disposal and information security standards• Data retention roles, responsibilities and policies are defined and documented• Historic data is appropriately summarised for future use
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Data management maturityAre you ready for Big Data?
Data management – Getting ready for big data
Example data maturity heat map
What’s the challenge?
Data is growing at an exponential rate from diverse and complex sources. It is becoming extremely difficult to manage using traditional data management systems. Data tools and techniques can offer analysis of previously undervalued or unexploited data, giving fresh insight into customer behaviour and business performance which in turn drives competitive advantage.
Performing the assessment
An experienced team of data specialists will perform a review of your data processes to evaluate maturity, highlight key process risks and understand where the business can most benefit from improvement. We will deliver a report and roadmap which shows the maturity across the organisation, detailing the key areas where data is currently undervalued and advantages of taking the next steps to maturity.
Is big data for me?
Many organisations are unsure of what Big Data could mean for their business, how mature their data governance and processes are, and how mature they need to be to best leverage both their own structured data and the wider unstructured (Big Data) to their advantage. Big Data is a hot topic, but few businesses have their own internal data management processes in order to maximise the potential of their own data. For example, only businesses which can gain new and faster insight into customer sentiment will be most successful.
Big Data will give you the information you need to change the way you run your business.
PwC’s data maturity assessment
The PwC Data Maturity assessment provides an enterprise-wide view of governance, people, processes and technology which will both guide and inform on the opportunity for data, areas of required improvement, and the current maturity of the organisation when dealing with data in general.
Steps to data maturity
Gaining a view of maturity across all data processes will dictate the next steps towards fully realising the potential of your data.
Level 1limited
Level 2evolving
Level 3functionalexcellence
Level 4integratedexcellence
Level 5information
premium
Evolutionary stages for achievinginformation advantage capabilities
Low information maturity
Premium information maturity
Evolution
Technology
Data inconsistencyLittle centralisationSpreadsheet based