Many businesses have implemented Hadoop and cloud data lakes to accommodate their ever-growing big data needs and to eliminate data silos. However, most are still struggling to achieve actionable business insights and gain real value from their data lakes. Forrester Research has surveyed organizations globally to identify key problems enterprises face in delivering analytical insights right at the point of business.
This webcast features Forrester Research Principal Analyst, Noel Yuhanna, and Kyvos Insights VP Products & Marketing, Ajay Anand. They discussed about the persistent challenges faced by organizations in implementing Big Data analytics projects and how to tackle them going forward. Ajay further discussed how Kyvos customers are solving the biggest challenges of Big Data and democratizing it for business users.
Watch this webcast to get tips and best practices for implementing a big data analytics platform.
- The state of progress on big data initiatives in organizations
- Best practices to expand the use and value of data lakes
- Delivering self-service & interactive BI on big data to business users
- Use cases of Kyvos customers that have achieved transformational business value