Ensuring Data is Good Enough
Let’s Talk About Data
In today’s challenging world, data plays a significant part in every day life and whether it is little data, complex data or big data, it’s your data and it’s yours to maximise the value of. Having an organisation's data in a single, secure location is, for many, a key objective. Additionally, having all that data stored consistently, readily accessible and of good enough quality to consume, subject to security permissions, ought to be the strategic objective.
This is where the true value of a CRM system or data store comes to fruition so that everyone in an organisation who needs access to secure, trusted data for their role can easily access, utilise and gain insights from that data.
This is also where the value of Cognox services utilising data practitioners with many years experience in delivering data driven outcomes come to assist clients in migrating from their current state to an ideal target state using a number of steps in order to make the transition successful avoiding the the pitfall, junk in = junk out, or words to that effect!
Cognox professional services help transform raw data, often of low quality into data that is good enough to consume, enabling informed decision-making and improved business performance, whether htat data originate from a mixture of legacy systems and/or masses of spreadsheets.
Data Enrichment
For example, a key objective from implementing a new system, particularly a CRM system, or similar, is to improve the data within that system by achieving improved levels of data quality. This can either be as a fundamental part of the implementation and/or an ongoing process thereafter. Otherwise, the benefits from the implementation will be impaired due to the poor state of the data within the system with many of the previous system’s issues persisting, despite the time and cost of the change.
Our approach involves our closing working with a designated client team in defining a current baseline position, tangible target objectives (what does “good enough” look like) and a structured approach to achieve those objectives. We then roll our sleeves up and commence the work programme to cleanse, transform and enhance the data so that the data becomes consistent, of good quality and valued ie., it’s become good enough by achieving the desired target state.