Overcoming Data Quality Challenges to Extract Value from your Smart Grid Data

This webinar provides an in-depth view on what’s next after starting a smart grid roll out, and how a purpose built IIoT platform can make the process smoother to best address the looming data integration challenges.

Recorded: 21 Mar 2016

Webinar Overview

As utilities begin their smart meter rollouts to meet the EU 2020 mandate they are drowning in an unprecedented pool of data. Utilities are struggling to correlate massive volumes of AMI data generated by millions of smart meters with SCADA data and other OT and IT data sources throughout their connected networks. As they face increasingly complicated data integration and analysis issues, the challenge is how to turn this sea of unstructured data into actionable intelligence.

This webinar provides an in-depth view on what’s next after starting a smart grid roll out, and how a purpose built IIoT platform can make the process smoother to best address the looming data integration challenges. Viewers will gain insights on how utilities can start to overcome data quality issues by:

  • Effectively Managing Data Velocity and Veracity
  • Leveraging a Semantic Data Model
  • Ingesting Data Intelligently from Multiple Systems and Networks
  • Applying Assertion-Based Logic
  • Learning From Historical Data
  • Codifying Knowledge to bring Velocity to Application Development
     

Hear Lessons Learned from Large-Scale Deployments

Bit Stew Systems has deep experience working closely with BC Hydro, a Canadian electrical utility serving 1.8 million customers, and many other leading utilities around the globe on their smart meter roll outs and data architecture challenges. This webinar will provide key learnings on the common issues utilities experience throughout the lifecycle of a smart grid roll out from deployment, to reconciliation and operations.