Mad Rever
Data timeliness is a matter of the company's and its employees' work, while data accuracy can be managed by applications and is a matter of the IT field.
As far as data quality is concerned, you must distinguish two essential aspects:
the objective is to guarantee data compliance in relation to the reality of the facts it represents (e.g. the customers' addresses in a CRM), this necessitates organizational procedures within the company in order to guarantee correctness (role of the data stewart, for example)
within information systems it aims at guaranteeing that the recorded data respect the rules defined by the « business » and that they are not contradictory. This aspect of quality can be controled by tools. A couple of examples of incoherent or contradictory data: a nonexisting date (31 June or an impossible leap year) or the number of children of a customer which wouldn't be the same number from one database to another (Does Mrs. X have 2 or 3 children?)
At the core of our DNA is our deep rooted belief that « Excellency in managing information drives business ».
Information reveals data as an organization’s most valuable asset. It has the power to...
