CRISP-DM is short hand for Cross Industry Standard Process for Data Mining. The model is used by many different areas of business that describes an approach that can be used to tackle data problems.
In the to day work that I'm involved with we are often approached by ideas or problems from within the business. This is key, we're placing the business at the centre of the problem. Thus we are placing Value at the centre of the processing. As the problem is defined we're also gathering business understanding whilst understanding the data we have. Assessing the Variety of data and any enrichment of the data that could be applied. This understanding should then lead to preparing the data for the modelling, starting to understand the Volume of data that will be used in the modelling and the impact that it will have. The modelling allows us to now start tackling the problem. At this stage it might require to assess the Veracity of the data. This might be a key point in assessing the problem and the implementation of the solution to the wider business.
Finally we look to evaluate the potential solution to the problem and look to deploy into the business but ultimately returning to the start – the Value of the solution.
The experience I have had with this modelling approach has been positive, it allows the business to remain central to the process and ultimately focused on the Value returned to the business by going through this process.
Once you’ve got your model then these days there are many working within the Agile framework. At my current work place we’ve implemented Jira for tracking these stages. This is usually done through KANBAN boards, and more defined tasks leading to the overall story.
IMHO this process will allow Big Data to yield great results for your business just ensure the business is central to the work you conduct!
No comments:
Post a Comment