A new industry study by Satori zeroed down on a big hurdle with critical data initiatives as 61% of data leaders point to manual processes and siloed data access tools as the main culprit slowing down their data projects.

This slowdown has a significant impact on organizations grappling with competing priorities: 85 percent see safeguarding access to sensitive data is critical for business and as a way to reduce the risk of security breach or exposure to unauthorized parties, while one-third point to satisfying data security, privacy, or compliance requirements from customers, and 27% are addressing sensitive access to data for compliance with consumer privacy laws.

At the same time, 75% want to expand data access to new people, including data scientists, analysts, engineers, and business users, but they don’t feel prepared to do so. Sixty-one percent of respondents said they use manual methods and technology to request data access, with 32 percent using emails and support tickets and 29 percent using fragmented processes including various tools and custom code.

Every organization currently stores vast volumes of PII data as data traces continue to increase dramatically. In fact, more than 71% said they maintain personally identifiable information (PII), including names, email addresses, and contact information in their databases.

Every firm now stores vast volumes of data as data landscapes continue to grow tremendously. Simultaneously, the demand to protect sensitive personal, health and financial information is growing. These variables are causing teams to set new goals:

• Rapid Growth in Sensitive Data: In their database, data warehouses, and data lakes, 71% of respondents say they store individually identifiable (PII) data such as names, emails, dates of birth, and social assistance or national ID numbers, while 47% say they store sensitive financial data including credit scores, bank or bank card accounts and payments.

• Need to Secure Access to Sensitive Data: 85% consider safeguarding sensitive data access as vital for the company and as a strategy to reduce the risk of being hacked or exposed to unauthorized parties. One-third of respondents said they are meeting customer data security, privacy, or compliance standards, while 27% are dealing with sensitive data access to comply with consumer privacy legislation such as GDPR and CCPA.
• Data Democratization is a Priority: As data democratization accelerates, 75% of organizations are aiming to expand access to data for more users within the organization, such as data scientists, analysts, engineers, and business users.

• Delays in Data Projects: Meeting compliance and security requirements cause delays in data initiatives, according to 62% of respondents. Manual data access techniques and tools are a major impediment to the successful completion of key data initiatives.

• Over half of respondents want to have almost nothing to do with data security and management. One out of every eight respondents wants nothing to do with compliance and security necessities, while 39% want to see compliance and security processes streamlined so they can spend less time trying to write custom code or manually processing access requests and concentrate mostly on their core projects for supplying information and analytics to identify opportunities for improvement.

In conclusion, Organizations of any and all sizes and phases of growth are urged to automate data access by identifying, classifying, and securing access to data, freeing up valuable resources for data engineering, security, privacy, and compliance teams. The survey, which was performed with Satori community partner Data Science Connect, included over 100 hyper-growth startups, mid-size enterprises, and Fortune 500 companies.

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