Data Privacy has not been area of primary attention for several Indian enterprises.This is clear from the number of spontaneous phone calls and text messages you receive from bank, credit card, insurance and others about some new offer.

Recognizing that it is only a matter of time before India gets a formal data protection law, Indian organizations can proactively start implementing basic data privacy practices.

Sensitive Data Attribute Discovery: Before how comes what and where. Enterprises must determine the type of business information that must be protected.

Privacy-Safe Data Provisioning: If there is a business need to share data either internally or externally, it must be done with a clearly defined recipient, and for a clearly defined purpose and duration.

Privacy-Safe Data Access: Data privacy can be further strengthened by creating role-based access to information. This is especially pertinent for IT operations, in which support personnel often end up seeing a lot more information than is required.

our research, our organization analyzed more than 80 use cases for intelligent automation.This appears to be a missed opportunity, as many business leads believe that only large-scale projects will generate the attention, credibility, and results needed to initiate broader change. While this approach may work for some organizations, we have found that having a big vision but starting with quick wins tends to be a more effective strategy. We advise clients to think big, start small, and scale fast. Proving value can be done with a minimal investment; building momentum starts with small, but meaningful, results.

Deploying intelligent autonomation at scale requires an executive sponsor who believes in the potential of the technology to solve business challenges and can instill that belief in others. This person builds excitement, trust, and momentum throughout the organization for these capabilities and persuades senior leadership of the importance of investing in a cohesive intelligent automation strategy.