Building Trust and Confidence to Accelerate Your Data in the Cloud

Your cloud-based data can be an accelerator with data management software and strategy.

Until recently, and before the emergence of data management software, the power of data rested mainly in the hands of a few analysts. Those analysts had the skills necessary to understand, organize, crunch, and interpret data for their organization. Today, data is shared freely (but responsibly) across organizations. We have more data consumers and more regulations that govern proper data use. Cloud has become the central location for businesses to store and access their data. As the cloud grows and businesses reap massive benefits from it, there are still reservations regarding its use. Data security, quality, and governance continue to be three business concerns when migrating data to the cloud. Here’s a look at how a cloud data management strategy can make your organization’s data an accelerator rather than a liability.

Three concerns regarding moving data to the cloud

Here are three of the most common business concerns about cloud migration:

  1. Data security: Although cloud providers promise complete security and responsibility of their cloud platform, they are not responsible for a business’ servers, data security, or servers. Studies show that almost 50% of companies face challenges regarding data security.
  2. Data quality: The lack of accurate, complete, timely, or consistent data, that meet business rules and requirements makes it impossible for organizations to trust their data. A lack of trust means these organizations cannot use their data to drive business-critical and impactful decisions. That, in turn, leads to missed opportunities, inefficiencies, and financial loss.
  3. Data governance: Over 60% of businesses are concerned about governance, regulatory issues, and cloud services compliance. Companies find it hard to create good governance (exercising authority, control, and shared decision-making regarding data management) while simultaneously mitigating risks and getting the most out of their data.

Some questions business leaders want to know:

  • How can we ensure our data democratization efforts will expose our data appropriately and align with our business policies?
  • Can we trust business-critical data migrated into new cloud apps the same as we trust our on-premises data?
  • Can our marketplace users have confidence in the business outcomes they expect?

Cloud data management strategy

You can build trust and confidence with a data management strategy to accelerate your data in the cloud. Here’s a look at five critical steps to do that.

1. Have a plan

A data management strategy is not about dumping all your data into the cloud. When creating a cloud data management strategy, you need to answer questions like:

  • Can I move all the data to the cloud, or can I create a hybrid environment?
  • Who requires access to what data?
  • Where should different processing tasks take place?

Before engaging a cloud vendor, consider the following:

  • Will the cloud vendor protect your data?
  • How will the cloud vendor protect your data from getting corrupted?
  • Does the cloud vendor have professionals on board in case something went wrong?

2. Invest in data management software (DMS)

Cloud DMS benefits include:

  • Security: The newer cloud DMSs offer more protection than on-premise solutions. Over 90% of cloud adopters reported improved security with their cloud DMS solutions. That is because data management reduces the risk of losing data to hardware failure or device damage. Companies that specialize in cloud hosting invest in more stringent security measures/practices than organizations that employ on-premises solutions.
  • Governed access: A cloud DMS allows teams to access necessary data from any location to work collaboratively.
  • Improved and better data quality: A well-governed cloud DMS solution helps organizations build a “single source of truth (SSOT)”. The SSOT is a familiar concept used to ensure that the entire organization makes business decisions on the same data. As a result, data remains consistent, clean, and up-to-date.

Cloud data management benefits include scalability and savings, automated back-ups, disaster recovery, automated updates, and sustainability.

3. Don’t forget data governance

Suppose you have an existing data governance policy (a collection of processes/practices automating and standardize data use and data management within the organization) for your on-premises data. In that case, you can update it to suit a cloud data management architecture. Consider using a help desk that acts as a single point to handle all data-related issues using data governance organization roles and responsibilities. That helps build trust in your organization’s data to make data-driven decisions.

4. Back up your data often

Cloud providers promise to run regular backups automatically. However, if you host your own cloud, ensure your IT department runs regular back-ups.

5. Maintain clean data

Keeping your data clean is critical as all your other data management processes rely upon it. Data cleansing involves identifying and resolving inaccurate, irrelevant, or corrupt data. That boosts the reliability, consistency, and value of your organization’s data.

Conclusion

You can make your data work for your organization rather than against you. With the right data management software, you can ensure your data can be used to make the right business decisions across your organization.

DesignPoint creates innovative 3D solutions for the manufacturing, product design, and engineering industries across the United States.