Research states that an accurate data entry system improves the processes of business by 30 percent. Most of the industry leaders claim that 90% of their company processes depends on data accuracy.  In a data driven trade industry, data are used in multiple ways, most precisely for research and development purpose and to overcome any challenge that arise while implementing organizational goals.

In the long run poor data entry quality can produce serious problems such as ineffective decision making, abstract and vague information, additional costs to procure fresh data, loss of vital information, low sales return, slower growth rate, frequent errors etc. Hence it becomes a necessity to curb down the inaccuracies.

5 tips to improve Data Entry Quality

1. Identify the root cause for data inaccuracies

To identify the external and internal sources that develop poor data entry quality you have to first find the exact reason. They may include Data movement, Data Decay and Incorrect values. When data travels from one source to another, the perception can be altered and presented, that may cause disconnection in data movement. While Data decay are those data that haven’t been corrected over a period of time such as phone number, marital status, house address, illness history etc. Incorrect Values are wrongly entered data, passed without correction like spelling mistakes, typo, etc.

2. Develop a long term achievable solution

To attain long term solution a company has to adopt automation of data entry process. There’s nothing called temporary in data entry quality objective. A company has to include quality testing, proper communication channel, regular training for data entry and a proper plan and realistic goals for the data entry operators.

3. Build a data governance team

This should be your first and foremost plan in action. For an accurate data entry process, a company has to build a Data Governance team. The purpose of the team should be to develop well defined documentation obtained from processed information. The team should be responsible to maintain healthy data records and ensure the data is properly channelized inside the organization. The team should use the following data verification methods for complete accuracy – double key data entry verification, field validation, sight verification, program edits, and reprocessing reports.

4. Adapt a robust data entry methodology

Evaluating and rectifying data entry quality is an unceasing process. If a data problem is not corrected within 30 days, consider it lost for a lifetime. Hence one has to comply with latest twerks and tools to attain cent percent accuracy in data entry. The various tools a company can utilise in the process include – data monitoring, geocoding, data standardization, data matching and linking and data profiling.

5. Don’t be constant; innovate and adopt

One of the best ways to tackle data entry inaccuracy is by moving on to latest techniques in the process. Keep upgrading your knowledge and amend old methodologies from the system. Don’t rely on a single point of view while documenting data. Check for more quality information such as relevance, timeliness, accessibility, legitimacy and completeness for desired data entry warehouse.