How can you overcome the challenges of cloud-based data entry software?

Cloud-based data entry software can offer many benefits for data entry professionals, such as flexibility, scalability, and security. However, it also comes with some challenges that can affect your productivity and accuracy. In this article, you will learn how to overcome four common challenges of cloud-based data entry software and make the most of its advantages.

1 Challenge 1: Internet connectivity

One of the main challenges of cloud-based data entry software is that it requires a reliable and fast internet connection. If your internet is slow, unstable, or unavailable, you may experience delays, errors, or data loss. To mitigate this issue, it's important to regularly check your internet speed and bandwidth and upgrade it if need be. Additionally, using a wired connection instead of Wi-Fi is recommended when possible. Furthermore, it's a good idea to avoid downloading or streaming large files while working on cloud-based data entry software. Finally, having a backup plan in case your internet goes down, such as a mobile hotspot or a local copy of your data, can be useful.

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Akorede Amusa

Customer Relations
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One thing I have found really helpful is subscribing to data providers with Fibre infrastructure. I currently use BT wireless and I get a guaranteed min download speed of 500mbps

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Tan Yohanes Christianto Aryo W

Consultant⚡| ex Deloitte 🟢 | 8x GCP ☁️
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One thing I've found we need consider about which ISP we use then we need check how much bandwoth and check about latency too for doing the cloid computing. and make sure that ISP or Internet conection is secure already before we use it.

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Aleesha Nunley Benjamin, MBA, CGA, MCPPO
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Some things to consider is ensuring your infrastructure and connectivity is constantly maintained and updated. In addition, to wireless connectivity, always have a wired backup, and finally an offsite secured data recovery.

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2 Challenge 2: Data security

Storing and transferring sensitive data on remote servers can expose your data to cyberattacks, breaches, or leaks when using cloud-based data entry software. To overcome this challenge, it is important to choose a reputable and trustworthy cloud service provider that offers encryption, backup, and recovery features. Additionally, you should use strong passwords and change them frequently, enable multi-factor authentication, use a VPN when accessing the software, and follow the data protection policies and regulations of your organization and clients.

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Aleesha Nunley Benjamin, MBA, CGA, MCPPO
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Always ensure you are utilizing a strong firewall. Have a technology assessment done to ensure your security is meeting industry standards, technology is constantly evolving, and it is important that your security is updated as necessary.

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3 Challenge 3: Data quality

A third challenge of cloud-based data entry software is that it can affect the quality and consistency of your data. Since multiple users can access and edit the same data, there is a risk of duplication, inconsistency, or inaccuracy. To address this, you should utilize data validation and verification tools to check your data for errors and inconsistencies. Additionally, following the data entry standards and guidelines of your organization and clients, as well as using data deduplication and cleansing tools to remove duplicate or outdated records, can help ensure data quality and consistency. Furthermore, communicating and collaborating with other data entry professionals can also help maintain high quality data.

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Aleesha Nunley Benjamin, MBA, CGA, MCPPO
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Always implement internal controls to minimize and eliminate duplication. Review data timely for any inconsistencies and only assign access to certain individuals to maintain segregation of duties.

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Kay Traeger

Administrative Assistant at Runbeck Election Services
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Confusion, bottlenecks, and tedious repetition are very often the core issues behind poor data quality. Close observation of how different users naturally input and access data will be an invaluable step to informing how to structure processes end-to-end by highlighting the elimination of friction and unnecessary steps. Some things to ask when developing/enhancing data entry and analysis processes: - What question(s) does the data need to answer? - What are the individual and systemic impacts from collecting and utilizing the data? - Where can quality data be most efficiently collected? - How will the processes ensure ethical standards of collection, storage, analysis and production?

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4 Challenge 4: Data integration

A fourth challenge of cloud-based data entry software is that it can complicate the integration of your data with other systems and applications. Since cloud-based data entry software uses different formats, protocols, and platforms, there may be compatibility or interoperability issues. To address this challenge, you can use data conversion and transformation tools to convert your data into the required format and structure, as well as data integration and synchronization tools to connect your data with other systems and applications. Additionally, you can use data analysis and visualization tools to extract insights and reports from your data, and APIs and web services to enable data exchange and communication between cloud-based data entry software and other systems and applications. By utilizing these methods, you can overcome the challenges of cloud-based data entry software, thus improving your data entry skills and performance.

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Aleesha Nunley Benjamin, MBA, CGA, MCPPO
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A fully integrated system is the best way to overcome this challenge. APIs definitely help as they are directly synchronized with your system. Utilizing multiple systems can be a challenge but if done properly utilizing APIs it can be manageable.

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5 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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How can you overcome the challenges of cloud-based data entry software?

1

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3

4

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1 Challenge 1: Internet connectivity

2 Challenge 2: Data security

3 Challenge 3: Data quality

4 Challenge 4: Data integration

5 Here’s what else to consider

Data Entry

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