A data strategy enables business goals and objectives by ensuring appropriate delivery of data management capabilities required to meet business goals.
As we move in to 2020 it is highly probable that you should be planning to deliver many of the following:
- Self-service BI
- Single view
- Data literacy
- Data governance
Let’s examine each in more detail.
“Cloud First” has become a battle cry for many companies – driven by various factors including the desire to optimise infrastructure (and associated costs) as well as the need to reduce dependence on internal IT support.
Does your data strategy plan for cloud?
What data will you store in the cloud, and for what purpose?
How will you ensure that data in the cloud is stored optimally?
How will you integrate and / or synchronise cloud and on premise data?
How will you manage the quality of data in the cloud?
How will cloud affect your security policies, how will you manage access, or, in the worst case scenario, a breach?
These are some of the questions that you need to consider as you plan for the cloud.
Self service BI has been a demand from business for years. Now we see IT driving the demand.
The desire is largely the same – to allow business decision makers to access the reports they need to monitor their operations and make decisions, without a dependence on overworked IT staff
Some key questions to consider:
How will we deliver the needed data to the operational data stores, data lakes or data warehouse being used for BI?
Will we provide a catalog of available data sets to allow users to find what they need? What about a catalog of existing reports to allow reuse?
Are we ensuring trust in the data? Can users identify the lineage, assess the quality, or find a common understanding of commonly used terms, calculations or metrics?
Will it be a free for all or will we formalise access management?
Is a “single view” necessary?
In my opinion, any form of analytics or BI is dependent on a reasonably accurate and consistent single view of the underlying data set – be that customer, employyee, product or whatever.
The lack of a single view means that either duplicate records or missing information skew the outcomes, often both at the same time.
A single view means that we consolidate duplicated information and group similar data together for completeness enabling the most accurate analysis
Data literacy is the ability to derive meaningful information from data.
How does you data strategy support increased data literacy across your business- from knowledge workers understanding the impact of poor data capture practises on day to day operations, to assisting decision makers to understand and assess the reports that they rely on.
Each of the disciplines identifed is dependent on sound data decision making.
Data governance is about changing behaviour to optimise the value of data.
How is your data governance capability promoting collaboration between business and IT stakeholders, to ensure that data changes positively affect the ability of the business to operate and to make decisions?
What tweaks (or major changes) do you need to plan for in order to more effectively deliver valuable data?