Data Handover: The Good, the Bad, the Missing, and the Irrelevant
WEBINAR ON DEMAND
Discover the effects that bad data could have on your business, and how taking and maintaining control could improve your bottom line.
Information handover in projects can be very cumbersome due to the massive amounts of data, duplicates, and the wide range of specialized data formats being exchanged – especially when working with numerous contractors and suppliers.
One of the common reasons for budget overruns and delays in capital projects is lack of adequate time and budget for handover and validation of the data, which can often be inaccurate, outdated, or incomplete. At the root of this problem is that as companies become increasingly digital, they struggle to address the explosion of information trapped in disparate systems across their organizations. Failure to manage this data frequently leads to poor decision-making and project failures.
So how do you overcome data quality challenges to improve productivity and efficiency, ensure regulatory compliance, and reduce risk for your organization?
Watch this webinar on demand where we explore:
- Determining if you have a data quality problem
- The implications of bad data quality
- Obtaining good data quality
- Controlling data quality
- Maintaining good data quality
Pat Jenakanandhini has more than 15 years of experience in the software industry focused on delivering solutions for process plant owners and operators. He is highly passionate about technology, and a strong proponent of embracing change to improve performance. As Chief Technology Officer of BlueCielo, he is focused on delivering products that solve real problems and provide real value to our customers.