DATA STRATEGY CONSULTANCY SERVICES

We will work with your team to understand your requirements and scope the project. No two data strategy projects are the same. Some of the usual inclusions of our data strategy consultancy services include:

• Development of a strategic vision for data management
• Development of guiding principles used to underpin the strategy
• Identification of benefits and capabilities the strategy should deliver
• Development of a high-level target data architecture and governance model
• Development of a supporting implementation roadmap, delivery options, and strategic considerations that will deliver the business objectives

Once executed across the organisation, the creation of the strategy, governance framework, and implementation plan will enable the organisation to excel and make it future-ready.

• Identifying work to embed Data Privacy policies across the organisation, thereby reducing compliance risks
• Supporting the development of a range of metrics and measurements that enable value of data held by the organisation
• Providing a repository of accurate data which reduces compliance risks and providing a baseline in which the organisation can have confidence in for future strategic decisions
• Complementing existing major transformational work (e.g. implementation of new HR platform) by facilitating implementation, and lowering risk of project failure by providing clean and accurate data

1.What problem does a Data Strategy solve?

Data is no longer a by-product of business activity but drives and supports every decision within your business.  However, businesses tend to address business changes in isolation of the bigger picture. For example, data is often shared across multiple systems but a change to one of them could affect the compliance and value of that data.

A common theme that develops in projects we work on is:

• Projects are developed in isolation but use the same data content.
• Each project identifies existing data needs independently without awareness of overlapping costs and effort.
• Projects did not share data, reuse or establish wider economies of scale or reduce the cost of data movement or development.
• Data users access common data across separate applications in which data value, formatting and integrity varied across applications.
• Source data was often unusable across multiple platforms.

In general, the result was duplicate data, multiple processes, and no systems or processes to affect the value of the data across organisations.

2. What are the components of a data strategy?

Here at DPAS we work with clients developing the 5 core components of the strategy.

IDENTIFY 

Identify the data and understand the how, what, where and when you use it, the foundation to any strategy. For example, understanding what meta data exists is vital for understanding the prize assets that exist.

STORE

Understand how data is created, stored, processed, and transferred so we can identify current and new capabilities in access, storing and control. For example, ensuring that any data created only has to be created once and preventing duplicate copies being made. 

 PROVISION

Data packaged in such a way that be reused and shared by providing rules, ownership and access guidelines for the data.  Creating rules for the users not the system, designing data systems for use, not for technology but the user. 

PROCESS

Once identified move and combine data that has value that resides is disparate systems to provide a single consistent data view.  Delivering real economies of scale and making peoples’ jobs easier. 

GOVERN

Understand compliance requirements, risks and remediation whilst at the same time establishing a governance regime through accountability, standards, policy, assurance, security and leadership

3. What are the benefits to our business of creating a data strategy?

• Identifying work to embed Data Privacy policies across the organisation thereby reducing compliance risks.
• Supporting the development of a range ofmetrics & measurements that enable value of data held by the organisation.
• Providing a repository of accurate data which reduces compliance risks and providing a baseline in which the organisation can have confidence in for future strategic decisions.
• Complimenting existing major transformational work (e.g. implementation of new HR platform) by facilitating implementation, and lowering risk of project failure by providing clean and accurate data.

Reduced Costs

• Risk Management
  • More efficient Audit Process
  • Reduced risk of non-compliance
• Staff Experience
  • Removal of duplication of work
  • Reduced effort to process, validate and maintain personal records
  • Removal of non-value adding activities
• Increased Efficiency
  • Reduced process operation costs (less noise, confusion and double work)
  • Reduced IT integration costs
  • Increased process automation

Increased Value

• Improved services
• • More accurate and aligned data
  • Increased retention