As with any old car with a worn out engine, old computer systems need updating and replacing. Could your organisation bear the cost of the commercial damage or business interruption caused by a systems’ crash?
As we become surrounded by increasing amounts of available data, smart businesses enhance their intelligence, but how can you get a fast win during data migrations?
Every choice has a serious resource cost implication: What to go to? On-site or in the Cloud? What systems and servers? How long will the changeover take? Training needs? When will we get payback?
And the question that never gets asked – if the quality of our data is not fit for purpose, can we do anything about it?
Then more questions…. will your existing IT suppliers help or hinder the internal IT team? Is the business fully involved or are the non-IT staff mere bystanders and potential victims if things go wrong? What steps have been taken to minimise the risks?
Here at DataFirst Intelligence, we guide migration projects through 9 key requirements to a successful conclusion as to us BIG data means expansive and wide ranging rather than just pure volume.
1). An Intelligent approach is needed to transform the use of new computer systems. Planning starts by bringing ALL departments together to address the entire Business Strategy and model what ideal data is needed to run the business as IF YOU HAD A FRESH START.
2). A Global Holding Repository or Hub should be prepared as a “Basket of Intelligence” to hold all your Information assets, separate from any constraining system boundaries.
3). A Data Discovery exercise is essential to conduct across all systems to see what information assets there are, not just what it is intended to be moved to new systems.
4) A Data Protection Review must be conducted to ensure that any re-purposing of data is done with the PERMISSION of your customers and suppliers.
5). A Target Systems study must be completed. What data is needed for these and how will it be used?
6). A Data Quality and Completeness audit should be undertaken to check it is (and will be!) fit for purpose for all users and stakeholders.
7). An Enhancement Process should be started to add new depth to your information – covering market data, personal and demographic enhancements backed up by Open Data augmentation from the ONS and other Government data sets. Companies such as Experian and Call Credit have in-depth research pools of data to access and purchase.
8). Increase immediate Business Value. Grant access to the Global Holding Repository, using Visualisation Tools. This will enable your Finance, Sales and Marketing teams to facilitate cost analyses exercises and start new lead generation activities in parallel to the new systems migration project.
9). Finally there is a need to run Fast System Loads and test new operational preparedness.
Some new service companies with a focus on Business Intelligence are replacing traditional and conventional data migration suppliers, who just provide data migration tools and write code. The days of merely passing raw data from system A to system B without grabbing this opportunity for an intelligence-led behavioural transformation are over.
Wise companies let the change process be driven by business people.
Business people transform the use and payback of new computer systems to set an intelligent approach to IT change. Putting the fuel of enriched data into the new car engine is a good starting point.