The document provides tips to improve data accuracy. It recommends identifying sources of data errors, setting broad objectives for a data accuracy initiative, adopting information lifecycle management best practices, and implementing automatic validation to eliminate issues at the source. The document is from EWSolutions and provides their contact information.
2. Identify The Sources Of Data Errors
Begin by making an assessment of the causes of the discrepancies in your data management program. Chances are
you will find numerous internal as well as external sources of the inaccuracies. Many anomalies occur during data
movement when an element is being relayed from one database or system to another. The lack of synchronization
between the two systems leads to incorrect changes to the state of the item. In some cases, the items become incorrect
right at the outset when they enter the digital ecosystem of the enterprise. Entering the wrong value for the element
can make it in accurate for its entire lifecycle without anyone realizing the fact. Some anomalies occur because data sets
have not been updated regularly. For instance, a person’s marital status can change from single to married over a
period of time. However, if the information is not updated, your business will be left with an outdated and incorrect
item.
Email us: Info@EWSolutions.Com
Call us: (630) 920-0005
3. Set Broad Objectives For The DataAccuracy Initiative
Itisimportantthatyousetsomebroadobjectivesforyourdataaccuracyinitiativerightatthebeginning.Youcanidentifycapturingdatainanefficientandeffectivemannerasakey
goal.Usingvalidationtoensurethemaintenanceoftheconsistentqualityoftheassetscanbeanotheraim.Youcanalsoseteffectivecodingfordefiningtheelementsasanother
broadobjective.Identifyingthemajorgoalsoftheinitiativewillhelpyouinfocusingontheareaswhichneedmaximumattention.Theexecutiveleadershipcanthenidentifyasetof
realisticandquantifiablegoalsforeachbusinesssectionseparately.
Email us: Info@EWSolutions.Com
Call us: (630) 920-0005
5. Implement Automatic Validation To Eliminate
Issues At The Source
The best way to avoid accuracy issues is to identify and eliminate them right at the source. Install a system which automatically
validates each element at the point of entry. The mechanism must spot gaps and inconsistencies in the information being
accessed. Let’s say your existing customer data generation tool is not entering the e-mail ID of each client. The validation tool
will flag the issue and stop the system from adding the incomplete dataset to the storage. Similarly, the values for all processes
and systems being used for information generation must be defined at the outset. This will help in the validation of each item
and the addition of only correct items to the database.
Email us: Info@EWSolutions.Com
Call us: (630) 920-0005
6. Contact Us
Headquarter: PO Box 70
Hinsdale, IL 60522
Email: Info@EWSolutions.Com Contact:
(630) 920-0005
website: www.ewsolutions.com
Email us: Info@EWSolutions.Com
Call us: (630) 920-0005
