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You're drowning in a sea of data entry tasks. How can you stay afloat and streamline the process efficiently?

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In the digital age, you might find yourself overwhelmed by the sheer volume of data entry tasks required to keep your business running smoothly. The key to staying afloat is not just working harder, but smarter. By streamlining your data management processes, you can reduce the time spent on tedious data entry and focus on more strategic activities that add value to your business.

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Sheron Philip Koshy

Technical Director at ECCMA
Oluwabusayo Adigun, CDMP?,CBAP?

DAMA CDMP? Practitioner|Top Data Governance Voice|Top Data Management Voice|Data Quality|Change Management
Shweta Bhogade

Study Coordinator @ Labcorp Drug Development | GCP and GLP, biomarker assay reporting

1 Automate Tasks

Automation is your lifesaver when you're up to your neck in data entry. With the right tools, repetitive tasks like populating spreadsheets, transferring data between systems, or even capturing data from emails can be done without your constant input. Start by identifying the most time-consuming tasks and explore software that can automate these processes. This will free up significant time for you to engage in more critical thinking and decision-making activities.

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Shweta Bhogade

Study Coordinator @ Labcorp Drug Development | GCP and GLP, biomarker assay reporting
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Use project management software to pull the data which helps you to make better decisions in a timely manner. Try to simplify the process for the end user as much as possible

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Karamvir Singh

Business Administration @ TFI international/Contrans intermodal| IBM Data analysis certified and Software engineering graduate | Content creator(15 million views across platforms)
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Totally agree with this, i would like to add testing is one of the most important part of automating tasks should be a 40-60 split, spend 40% time in automating(nowdays its very easy to automate so shouldn't need much of our time) and 60% time for testing, its the most important aspect to look at while automating because once automation is completed and in deployed in production, one step done in automation can lead to a whole sea of problems which in turn increase the work load

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Desiree Garcia

Director of Administration
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List your tasks, prioritize them, and then knock them out and scratch them off your list. Set anything up that can be automated from your list. You should be half way done.

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Linda Johnson

Data Entry Assistant
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Prioritizing your work by importance is the best way to handle your work when you are swamped, and to get it done in a timely manner. Focusing on attention to detail

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2 Prioritize Data

Not all data is created equal. Prioritize your data entry tasks based on their importance and impact on your business. For example, customer information and sales data might be more critical than updating internal phone lists. By categorizing data and focusing on high-priority tasks first, you ensure that the most valuable information is always up-to-date and accessible, which in turn helps in making informed business decisions.

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Shweta Bhogade

Study Coordinator @ Labcorp Drug Development | GCP and GLP, biomarker assay reporting
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While prioritizing data it's worth taking into consideration sensitivity of data, to avoid misuse. Delivering data in relevant format to make it more sensible/ appealing is important, otherwise it's still the data and not information.

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Karamvir Singh

Business Administration @ TFI international/Contrans intermodal| IBM Data analysis certified and Software engineering graduate | Content creator(15 million views across platforms)
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I completely agree with this, whenever i have to decide whether to update/input data that would lead to better client satisfaction or data that will be rarely used and provide no real value to business on a day-to-day basis i always chose the first option to prioritize

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3 Improve Accuracy

The accuracy of your data is paramount; inaccurate data can lead to poor business decisions and inefficiencies. Implementing a two-step verification process or using data validation rules can significantly reduce errors. Consider software that highlights anomalies or duplicates to maintain a high level of data integrity. This step not only helps in maintaining the quality of your database but also saves time that would otherwise be spent correcting errors.

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4 Delegate Wisely

You don't have to tackle the sea of data alone. Delegate tasks to team members who have the appropriate skills and understanding of the data's importance. Use a collaborative platform where tasks can be easily assigned and tracked. This ensures accountability and allows for a more distributed workload. Delegating effectively can lead to a more engaged team and a more manageable data entry process.

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Shweta Bhogade

Study Coordinator @ Labcorp Drug Development | GCP and GLP, biomarker assay reporting
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Team leaders and peers know the strength of the people whom they are working with, make tasks easier and approachable to a particular person ( Subject matter expert) for a relevant solution. This avoids any delays while delegating responsibility and working with great efficiency for the eleventh hour task.

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5 Continuous Learning

The world of data management is constantly evolving, and so should your approach to managing it. Keep abreast of new tools, technologies, and best practices in data entry and management. Invest in training for yourself and your team to ensure everyone is equipped with the knowledge to handle data efficiently. This ongoing learning process will enable you to continually refine your data management strategies and stay ahead of the curve.

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6 Simplify Processes

Finally, simplifying your data entry processes can lead to significant efficiency gains. Evaluate your current workflow and identify any unnecessary steps that can be eliminated or combined. Streamlining the process not only makes it faster but also reduces the potential for errors. Remember, a simple workflow is often a more efficient and less daunting one.

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Sheron Philip Koshy

Technical Director at ECCMA
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Repetitive processes can be automated by using AI or something as simple as SQL queries. This can also be done upfront to even do the necessary validation to make sure data entered is accurate.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Oluwabusayo Adigun, CDMP?,CBAP?

DAMA CDMP? Practitioner|Top Data Governance Voice|Top Data Management Voice|Data Quality|Change Management
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Ensure only purposeful data elements, i.e., data with a business purpose, are within the scope of data entry. Doing this ensures data minimization, which eliminates the waste of time and other resources

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osamwonyi Alekwe

Data Management | Data Engineering | Data Governance | Software Dev | Azure | AWS | Process automation |Data Quality| Data Analytics
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One option possibly will be automating the data entry process if it is manual, then if it's already automated , then another option will be simplifying the data entry process.

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You're drowning in a sea of data entry tasks. How can you stay afloat and streamline the process efficiently?

1

2

3

4

5

6

7

1 Automate Tasks

2 Prioritize Data

3 Improve Accuracy

4 Delegate Wisely

5 Continuous Learning

6 Simplify Processes

7 Here’s what else to consider

Data Management

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You're drowning in a sea of data entry tasks. How can you stay afloat and streamline the process efficiently?

1

2

3

4

5

6

7

1 Automate Tasks

2 Prioritize Data

3 Improve Accuracy

4 Delegate Wisely

5 Continuous Learning

6 Simplify Processes

7 Here’s what else to consider

Data Management

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感谢您的反馈

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