This document discusses how Encanvas can help businesses leverage IoT and big data. Encanvas manages IoT assets and aggregates their performance data with other sources to generate new insights. It gathers, analyzes, and interprets diverse data in new ways to produce value and new business approaches. Encanvas provides a platform to build scalable applications that connect to various data sources, perform extract-transform-load processes, and automate tasks using robotic functionality.
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Encanvas iot and big data data sheet
1. APPLICATION DATA SHEET
IoT AND BIG DATA
MAKE DIGITAL INNOVATION YOUR
BUSINESS ADVANTAGE
Two innovations that are jointly connected are the Internet of Things (IoT)
describing the proliferation of sensor‐based devices, and Big Data, describing the
enormous volume of data that exists and continues to grow exponentially due to
the pervasive use of digital images and content. Encanvas manages the health of
IoT assets and reports on their performance and activities. This data can be
aggregated with other sources of ‘big’ data to produce new insights. Encanvas
gathers, harvests, analyses and interprets data in whole new ways, producing new
sources of value ‐ new ways of doing business.
Making sense of big data
What does IoT and BIG DATA mean to your
business? Do you see big data as a potential way
to drive your digital transformation perhaps?
McKinsey&Co. neatly describe the business
potential of digital transformation in its document
'What it takes to build your Digital Quotient'. They
state that, to leverage big data to drive digital
transformation in your business, it’s more about
something you do, not something you buy. So says
McKinsey, to turn big data into power, there are
three things you should think about:
1. Getting the strategy right
Before thinking about IoT and big data,
organizations need to consider 'what digital
transformation means to them' as it could mean a
new way of doing something better ‐ or a
completely new business approach.
2. Capabilities at scale
For digital success (says McKinsey) certain
capabilities are more important than others.
Foremost among them are modular IT platforms
and agile technology‐delivery skills needed to keep
pace with customers. Encanvas equips businesses
to keep their IT in‐tune with changing needs as
digital strategies evolve.
3. A fast, agile culture
Finally, (says McKinsey) while strong skills are
crucial, companies can, to some degree, compensate
for missing ones by infusing their traditional
cultures with velocity, flexibility, and external
orientation, and the ability to learn. Encanvas
supports the transformation of organizations
towards more agile tendencies by removing the
barriers between 'IT and the business'.
Use cases
Typical use cases include:
Asset performance and management ‐
Harvesting insights from assets, analysing them
and reporting on their performance.
Developing insights in asset serviceability and
component performance to optimize
preventative maintenance programmes and
spares stock inventories etc.
Smart systems ‐ Using Encanvas to manage IoT
devices as part of a smart system that reduces
human intervention in events and processes.
Industry applications ‐ Transform how processes
work within specific industries by re‐modelling
supply‐chains, customer engagement processes,
user interfaces and business models.
The role of geodata visualizations – Maps are an
important tool in IoT and big data apps because
they bring clarity to large volumes of data by
offering a geo‐location context. Encanvas offers a
unique built‐in mapping capability based on data
management best practise. Unlike legacy GIS
systems, Encanvas does not compose composite
map files but presents data and vectors as layers
on a canvas. This approach is essential for data
mashup applications.
Why Use Encanvas as your
management system for IoT and Big
Data projects?
Add
Federated robot/IoT device
control system
Access to services 24x7 via a
comprehensive control panel
Cloud‐based scaling and control
Federated map views
Robotic functionality to
automate manual tasks
The ability to anticipate threats,
emergencies, bottlenecks, asset
failures etc.
Grow
Control and governance of
federated assets
Understanding of cross‐discipline
events and activities
Data security and integrity checks
over IoT feeds
Data accuracy by exposing short‐
falls in data quality
Meta‐data capture
Governance over activities –
Systematic rules are applied
consistently
Best‐practise innovation
Reduce
IT project risk, spend, overheads
on IT teams
Manual data processing tasks
Time‐to‐value of new solutions
Time to deploy on desktop and
mobile browser platforms
Remove
Manual data capture, input,
aggregation, cleansing, analysis,
reporting and publishing tasks
IT complexity
Support overheads