The data swamps in enterprise infrastructures grow exponentially year on year, data gets dropped in to holding pens of databases and storage mediums spread throughout the business and often gets dumped in to long term archives without being processed to really discover if it holds any value other than being a record of a working process.Identify data types for internal value and monetization opportunities in a more informed and results-driven way by creating a map of data sources and producers and using a pre-agreed value matrix for assessing the value of enterprise data, determining how best to maximize its potential and figuring out how to get the data to internal consumers or external paying consumers where pertinent or desirable.

How can we help

Data Discovery & Relationship Map

(8 Weeks) This uses a mix of processes, methodologies and tools to discover as many major, minor and tertiary data sources and repositories as possible. The aim is to identify the data types and structure of the stored information mapping them to the systems, services and individuals generating and consuming them. This will help your business to define a follow on strategy for taming and utilizing corporate data to generate revenue gains.

Data Lifetime Value Assessment

(3 weeks) Working with your assigned team to complete a tangible and intangible value weighting / value point framework to be used to assign values to the data sources to create a prioritized listing based on value weighting that can be used to assign internal priority or value to the data. The base governing framework for data lifecycle management can also be define in this phase. This will then allow the business to prioritize business goals and objectives around the use of data as a revenue increasing / earning technology.

Data Governance Implementation Planning

(12 wweks) A business must take active steps to implement a solid foundation upon which to build the data future.  This means taking data seriously and understanding that it is key to life and death of business. For organizations that are having data issues, implementing data governance structures and processes must be the first step.  Without consistent process for handling data, any data effort that is undertaken will not necessarily align with established norms and business objectives. Working with your assigned team we will create a governance framework for long term data asset management and monetization. We use a set of guides to produce a framework that. We use a set of guides to produce a framework that covers the following:
Existing Data Lifecycle Management

New Data Lifecycle Management

Reporting & Authorization Process Flow

Automated Compliance & Reporting

Compliance, Audit, Security & Regulation

Analytics and Data Exposure