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Why Utility Players Need BI/Analytics

- Energy and utility industry players to invest US$7 billion on big data and

analytics in 2014, cross-industry spending at 15% (ABI Research, 2014)

- At an annual CAGR of 25%, the same figure is likely to increase by three times

to US$21 billion by 2019

- Key business drivers: Demand response and generation programs,

personalized customer care, complex customer data, regulatory norms

The Challenge? Utilities lack core IT capabilities in unlocking value data from millions of smart meters and converting them into business models

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Smart Meter Era – Need for Change in Utility Business- Watershed moment: Utilities worldwide have

announced smart meter roll-outs in their millions

- Transition from predictable business models to a

customer-centric one

- Transition from supply-side business model to a data-

driven, demand-based approach

- Which is better?- Option A: Real time controls over generation, consumption and costs

OR

- Option B:Blindly augmenting capacity and surprising end users with bill shock

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The Challenge of “Disaggregated” Data!

- Compared to any other point of time in history, utility providers have access to

the largest data set of consumer behavior – over 1 billion data points daily

- “Disaggregated” data of no use to utilities unless convertible to revenue

models

The Solution? Utility Players are looking to leverage Big Data-based predictive, statistical models derived from historical inputs to create predictable load

forecasting and innovative pricing plans

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New Utility Revenue Models based on BI/Analytics

- Predicting demand response can lead to up to 90 per cent cost savings

compared to other alternatives such as increasing generation capacity

- Predicting generation response will go a long way in accumulating supply side

cost savings

- Meeting regulatory compliance

- Reducing customer churn: Providing BI-based loyalty programs for customers

without increasing tariff

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eInfochips’ BI/Analytics Framework to Visualize Energy Data- Data Collection: Fire/smoke,

floods, weather outage, peak

demand, HVAC, smart home data

- Data Analysis: Predictive

analytics on Normalized to create

demand-side patterns

- Data Visualization: Alarms and

failures mapping, pattern

prediction, prioritized responses

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Monetization Example – Smart Home Use Case

- 1 million smart devices generate 3 billion

records a month

- Time needed to individually profile 3 billion

records = 2 mins. X 3 billion = 10,000 years!

The Solution? A tool like MongoDB insertsonly 1 million records and retrieves 300,000

saving valuable time, costs and productivity in data analysis

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Potential Business Areas for Utilities

- Demand Response Services: Putting the end user in control of their actual

consumption

- Coincidental Peak Demand Programs: When lots of consumers are involved,

utilities can guide them to save on energy bills based on accurate prediction of

coincidental peak demand

- Predicting Resource Demand: Using smart analytics tools, utilities can predict

future resource demand originating from historical data thus avoiding service

disruptions as well as overcapacity concerns.

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eInfochips Smart Energy Analytics Solution

SmartHomes

SMAC Internet of Things (IoT)

Data integration module

MongoDB – Events and device data processing integration

Tableau – Charts and Reports for visualization

Intelligently integrates application, device, online and unstructured data

As a MongoDB solutions partner, eInfochips deliver operationalinsights, reduces costs, improves customer serviceand creates new revenue streams

Cloud Enablement

Predictive analytics using Hadoop, MongoDB, CRM/ERP

BI and ad hoc reporting over Tableau

Operating across public, private and hybrid cloudenvironments, eInfochips supports deviceintegration across millions of device endpointswith security features like role-based access,HTTPS and crypto-secure tokens and Springsecurity framework.

Areas of Expertise

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To learn more on smart energy analytics and the eInfochips solution, please visit the link below to download our white paper

http://einfochips.viewpage.co/smart-energy-analytics-for-utilities-whitepaper

Read our White Paper

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eInfochips Work Portfolio

Application

System

Hardware

Mechanical

BI and Big DataCloud

Mobilitye-Commerce

FirmwareOperating System

BSP and DriversOn-Chip Features

Electronic / PCBFPGA

ASIC and SoCIP Integration

EnclosuresCAD Modelling

ErgonomicsIndustrial

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Thank Youmarketing@einfochips.com