Growth of enterprise data opens up new business opportunities for partners

Companies that provide a range of data classification, scheduling services help customers better control their IT costs.

Blanco Christina Walker

Christina Walker

According to Cybercrime Magazine, over 200 zettabytes of data will reside in cloud storage worldwide by 2025, up from 4.4 ZB in 2019 and 44 ZB in 2020. This global distribution of enterprise data, both in the cloud and on-premises, can provide trading partners with new revenue streams.

Indeed, trading partners with knowledge and experience in data classification, who understand that it is not only about enterprise data management, but also about the role they play in business intelligence, business continuity, disaster recovery and security, can expand the potential for new business opportunities. By providing a broader range of data classification services, partners can help customers leverage public cloud consumption-based pricing and better control IT costs through better optimization and more strategic storage planning.

In 2006, British mathematician Clive Humby said, “Data is the new oil.” Since data powers entire organizations (and industries), this phrase is as relevant today as ever. However, as with oil, data must be cleaned to be of value – this is where advanced data classification techniques come into play. One of the most important steps a business can take in terms of data management is to prioritize data classification or data categorization process. for the purpose of its storage, sorting and retrieval for further use.

While data classification is a vast area of ​​opportunity for a channel, it requires a deep understanding of customer’s industry requirements, workflows, and IT operations that partners can address through consultation and technology integration.

Best Classification Practices

Data classification best practices should first validate data to be included in classification and access definitions against industry or national regulations, standards, and compliance requirements, including GDPR, PCI-DSS, CCPA, etc.

Once the important compliance issue is resolved, companies can move on to the “basics” of data classification, with advice and support from partners in the following five areas:

  • Identification and identifying sensitive and highly valued data.
  • Opening where the data is stored and who has access to it.
  • Classification defining data based on its value to the customer organization and assigning classification levels.
  • alignment proper security controls and integrity measures.
  • Monitoring regularly as a component of security controls for data management best practices.

Create a Successful Data Classification Service Offering

Enterprises have many competing priorities, but partners can play an important role in helping to increase the importance of data classification, which can become problematic if not regularly maintained.

Trading partners and service providers looking to create data classification program offerings should prioritize value-added packages that combine training, guidance, and consulting, and help develop processes that fit today’s agile and mobile work ecosystems.

Partners must also educate their clients about the consequences of poorly executed programs, which may include fines or worse.

Effective data classification programs should include the following four components:

  • Advise customers to be proactive and standardize the process early on so they don’t find their business is compromised later on when resources are wasted on firefighting or extra costs.
  • Encourage corporate clients should engage all key stakeholders to define and help create a policy (if one does not exist) that provides a roadmap for how data should be classified and managed, providing ownership, enforcement and accountability for the process.
  • Use the latest and greatest technologies to help companies comply with internal policies by automating the process as much as possible. This is where the Request for Proposals (RFP) and Proof of Concept (POC) come into play, steps that will require additional resources.
  • teach customers about avoiding the accumulation of redundant, obsolete and trivial (ROT) and unclassified data indefinitely. Not only does ROT data take up valuable server space and increase associated energy costs, it also threatens enterprise security and results in negative environmental impacts from cyberwaste.

It is high time for trading partners and service providers to expand their offerings to satisfy their customers as they struggle to cope with the massive volumes of data collected on a daily basis.

The ability of businesses to extract more value from information through data mining and analytics is critical to making strategic business decisions, making advanced data classification practices even more important. Service providers can not only help their customers make sensitive data easily accessible, they can also be trusted partners in risk management and mitigation efforts in an increasingly complex data and privacy regulatory environment.

Christina Walker is Global Director of Channel Sales and Programs at blanco. She leads Blancco’s sales team and overall partnership strategy, and ensures that the program evolves in line with the needs of the company’s growing list of active partners. Follow her on LinkedIn and company on @BlanccoTech on Twitter.

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