This presentation looks at some of the typical uses cases, ways in which businesses can maximize the value of data assets, use the #IoT ecosystem to enable strong support systems with the aim of doubling #EnergyProductivity.

1. HELPING ECONOMIES DOUBLE ENERGY PRODUCTIVITY
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#BIGDATA, #IIOT &
#ENERGYANALYTICS
HOW CAN INDUSTRIES TAKE ADVANTAGE OF

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
1. UTILISATION OF
DATA ASSETS
Industries/businesses end up investing in
data acquisition systems in phases and in
quite a few cases they are ad-hoc decisions
resulting in partial utilization of data assets.
Implementing an #EDA strategy can help
derive maximum value of data!

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
2. BUDGETING
Process industries with multiple products
often have to end up working on estimates
for budgeting energy, compliance costs etc.
#EDA strategy can help in forecasting
energy consumption profile for each
product and hence budget costs in a more
scientific data driven method.

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
3. AUTOMATE
REPORTING
Invariably all businesses are seeing surge in
data assets (energy, production, resource)
and it takes a lot of time for teams to
process the data, convert into actionable
insights and by the time you have the
insight it might not be relevant. Sector
Specific Algorithms processing raw data
from multiple sources can help automate
reporting process in a way that is Faster,
Better and Cheaper!

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
4. BENCHMARKING
Businesses with multiple manufacturing
locations often struggle with benchmarking
of Energy Performance Indicators,
normalisation tools allow businesses to
generate benchmarks, streamline targets
and standardise consumption patterns.

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
5. INVESTMENT
TRACKING
M&V is essentially the most important
component in the entire Energy Efficiency
investment value chain, with sound #EDA
strategy businesses can automate the M&V
process, track investment returns and do
course correction as and when needed.

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USE CASES - #ENERGYANALYTICS #ENERGYTECH #INDUSTRIES
6. FOSTER R&D
Understanding operational data well is
going to be the key to understand the
operational behaviour. Going forward we
see businesses developing internal IPs on
processes driven by the fact that they
would like to outperform their peers on
areas like energy/resource productivity.
That is possible only when you have a
sound #EDA strategy in place.

8. HELPING ECONOMIES DOUBLE ENERGY PRODUCTIVITY
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