We are inundated with tech buzz words –cloud computing, big data, predictive analytics. They might be the next “big thing” for your business, if your methods of data capture and manipulation are world-class. This practical session will explore ways you can fully leverage these trends.
Boost Fertility New Invention Ups Success Rates.pdf
Big trends, practical implications
1. 1Schneider Electric – Xperience Efficiency 2013
Big Trends, Practical Implications
Kent Evans
Director, StruxureWare Offer Marketing
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#SchneiderXE
2. 2Schneider Electric – Xperience Efficiency 2013
Trends are Tricky
“The horse is here to stay
but the automobile is only
a novelty – a fad.”
1903 – President of Michigan
Savings Bank advising Henry Ford‟s
lawyer to not invest in Ford Motor Co.
“There is no reason
anyone would want a
computer in their home.”
1977 – Ken Olson, founder of Digital
Equipment Corp., maker of big
business mainframe computers.
“The rate of innovation is so high in our
industry that if you don't innovate at that
speed you can be replaced pretty quickly."
2013 – BlackBerry CEO Thorsten Heins
3. 3Schneider Electric – Xperience Efficiency 2013
Our discussion today
Review four key technology trends.
Share some innovation examples.
Key questions to ask, steps to take.
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The Trends
Big Data
& Analytics
Mobile
Devices
Cloud
Computing
Internet
of Things
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The Common Challenge
Technology innovation
can be a key driver.
(hardware and software)
7. 7Schneider Electric – Xperience Efficiency 2013 http://www.intel.com/content/www/us/en/communications/internet-minute-infographic.html
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“Big” Data
●Information that cannot be processed or analyzed
using traditional tools & processes
●Note: current data is not “small”
●Challenge is not just size (volume, velocity, variety)
●Rate of generation rising
●Percentage being processed dropping
●80% of world’s data is unstructured
●Over 50% of business leaders do not have
access to insights they need to do their job
●Most companies just starting to understand
●Instrumentation, intelligence & interconnection
http://www.amazon.com/Understanding-Big-Data-Enterprise-ebook/dp/B0069QEHOE
9. 9Schneider Electric – Xperience Efficiency 2013
Big Data = Political Power
http://www.businessweek.com/articles/2012-11-14/the-making-of-a-big-data-president
“...Obama campaign had a strategy for not only
how data would be collected but how it would be
used...[in] 2016, more money will be spent on the
data game than the ground game.”
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Needles in the Haystack
http://gigaom.com/2013/03/20/even-the-cia-is-struggling-to-deal-with-the-volume-of-real-time-social-data/
“...the database of
useless information is
500 million gigabytes,
the database of useful
information is 5K.
Our problem: which 5K?”
“...increasing volumes of
data...from devices and
the growing field of smart
machines and sensors.”
“...the latest numbers...
35% of the world‟s
digital photography
gets put onto Facebook.”
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Your Next Financial Advisor?
http://www.businessweek.com/articles/2013-04-25/big-data-researchers-turn-to-google-to-beat-the-markets
“Time to fire your
portfolio manager?
„Big data‟ researchers
have found that mining
Google search terms
and plugging that data
into an investment
strategy outperformed
all but the world‟s
greatest stock pickers
over an eight-year
stretch...”
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Get Your “Small” Data Right
“Big data! If you don‟t
have it, you better get
yourself some...If your
data is little, your rivals
are going to kick sand in
your face and steal your
girlfriend...”
“The important thing is
gathering the right data,
not gathering some
arbitrary quantity of it.”
http://qz.com/81661/most-data-isnt-big-and-businesses-are-wasting-money-pretending-it-is/
13. 13Schneider Electric – Xperience Efficiency 2013
In Data We Trust
“Information is the oil
of the 21st century,
and analytics is the
combustion engine.”
Peter Sondergaard
SVP – Gartner
“Torture the data,
and it will confess
to anything.”
Ronald Coase
Nobel Prize Laureate, Economics
“If we have data, let‟s look at data. If all we
have are opinions, let‟s go with mine.”
Jim Barksdale
Former Netscape CEO
16. 16Schneider Electric – Xperience Efficiency 2013
Cloud Pioneer
“There‟s no way
that company
exists in a year.”
2001
Tom Siebel, Founder
Siebel Systems
“The cloud services
companies of all sizes…
the cloud is for everyone.
The cloud is a democracy.”
2010
Marc Benioff, CEO
Salesforce.com
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The Internet of Things
http://blogs.cisco.com/diversity/the-internet-of-things-infographic/
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“...practically every major technology company is in the
process of developing an „IoT‟ product; a number of universities
have launched big R&D programs; the EU is funding a massive
Internet of Things Initiative; and China has identified „IoT‟ as a
technology of national priority.”
http://www.accenture.com/us-en/outlook/Pages/outlook-journal-2012-toasters-refrigerators-internet-things.aspx
Beware of the Hype
“So is this old wine in a new bottle? Or is this renewed interest
based on some major new technological breakthrough?
As it turns out, it‟s neither.”
“IoT is a concept, not a single technology.”
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The Mobile-splosion
50 billion
downloads
(5 years)
1 billion
profiles
(8 years)
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Wearable Technology
“Technology will be worn into and
out of your enterprise.”
2012 – Gartner – Top Technology Trends for 2013 and Beyond
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StruxureWare Software
Sustainability
Planning
Asset
Management
Business
Operation
Energy
Management
Process
Control
Security
Power
Availability
Integrated software applications from “shop floor to top floor”!
Manage sustainability strategy.
Better visibility = better decision making.
Analyze operational trends.
Better visibility = efficiency improvements.
Control facility performance.
Better visibility = fewer problems.
Control
Operations
Enterprise
26. 26Schneider Electric – Xperience Efficiency 2013
Leadership Position
http://www.verdantix.com/index.cfm/papers/Products.Details/product_id/480/green-quadrant-energy-management-software-global-2013/
34. 34Schneider Electric – Xperience Efficiency 2013
Key Questions
Is my company leveraging these trends?
(hint: look outside energy)
Are our systems flexible and agile?
(hint: they need to be)
How will I convince my CFO to fund “this”?
(hint: build in measurement/verification)
(second hint: it‟s beyond finance)
What is our risk tolerance for things like “cloud”?
(hint: real concern, but also smokescreen)
39. 39Schneider Electric – Xperience Efficiency 2013
Grow (and enhance) Your Talent Base
http://www.microsoft.com/en-us/news/features/2012/mar12/03-05CloudComputingJobs.aspx
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Key Steps
Assess your organization‟s “energy maturity.”
(get your “small data” house in order)
Engage a wide(r) audience of stakeholders.
(visibility, transparency, internal, external)
Reinforce the financial impact & value.
(ROI extends beyond cost savings)
Grow (and enhance) your talent pool.
(data analytics roles skyrocketing)
41. 41Schneider Electric – Xperience Efficiency 2013
Appendix
20+ “Bonus” slides
for your reference!
43. 43Schneider Electric – Xperience Efficiency 2013
The Peta-Scale World.
Handles more than 1 million
customer transactions every
hour, which is imported into
databases estimated to contain
more than 2.5 petabytes of data.
Google processes 20 petabytes
(every day).
Globally, data centers consume as
much energy as Sweden.
http://mozy.com/blog/misc/how-much-is-a-petabyte/
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The Internet of Weird Things
http://www.infoworld.com/d/networking/25-weirdest-things-in-the-internet-of-things-217398
47. 47Schneider Electric – Xperience Efficiency 2013
Spawning Innovation
http://www.mckinsey.com/insights/high_tech_telecoms_internet/the_internet_of_things
“More objects are becoming embedded with sensors and gaining
the ability to communicate. The resulting information networks
promise to create new business models, improve business
processes, and reduce costs and risks.”
“Precision farming equipment can take into account crop conditions
and spread extra fertilizer on areas that need more nutrients.”
“Billboards in Japan peer back at passersby and instantly change
displayed messages based on the viewer‟s profile.”
48. 48Schneider Electric – Xperience Efficiency 2013
Where are we headed?
Data Centers | Water & Wastewater
Metals Mining & Minerals | Buildings
Retail | Grid | Oil & Gas | Healthcare
Across all
facility types
and segments
Across all
domains and
resources
Power | Process
Information Technology
Building | Security
Carbon | Water | Waste
Forecasting
and Modeling
Scenario Planning
Regulatory Analysis
Risk Management
Price Modeling
Supply Chain Optimization
StruxureWare addresses all segments/domains and can help you plan for the future.
49. 49Schneider Electric – Xperience Efficiency 2013
Wearable technology
“...the company is also opening up its
API to developers so that they can use
Jawbone stats in their applications...”
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Relatively speaking
http://seradigm.co.nz/2010/07/10/the-data-deluge.html
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Delivering for small businesses
http://www.businessweek.com/articles/2012-12-20/data-analysis-helps-h-dot-bloom-improve-flower-delivery
“H.Bloom‟s software
manages inventory down to
the stem and uses real-time
data analysis to purchase a
variety of red rose that‟s 2¢
cheaper than others [or] to
flag a supplier that‟s been
sending too many damaged
flowers.”
“...only 2% of inventory
goes to waste.”
53. 53Schneider Electric – Xperience Efficiency 2013
Code testing code
“Humans have largely
been removed from
the process...
Humans slow you
down.”
Kevin Scott
SVP Engineering, LinkedIn
http://www.businessweek.com/articles/2013-04-29/linkedin-a-story-about-silicon-valleys-possibly-unhealthy-need-for-speed
59. 59Schneider Electric – Xperience Efficiency 2013
The CIA wrestles with information
http://gigaom.com/2013/03/20/even-the-cia-is-struggling-to-deal-with-the-volume-of-real-time-social-data/
“...the database of useless information is 500
million gigabytes, the database of useful
information is 5K. Our problem is, which 5K?”
“Our belief: Big Data democracy wins. The
goal we have is I have to be able to get the
power of Big Data and the analytics into the
hands of the average user.”
“The only way that the real value is going to be
realized...is when everybody has access to a
tool and the data in order to get their jobs
done and they don‟t have to worry about it.
Tomorrow what we want are really elegant,
easy-to-use tools, the machines to do the
heavy-lifting, and we want to get out of simple
things like „search‟: search is so broken in this
peta-scale world that we‟re talking about.”
The CIA‟s Four Big Bets.
1) It‟s all about Big Data. Take advantage
of the streams.
2) Execute efficiently. More outcomes in
less time.
3) Share better. Act better as an
intelligence community.
4) It‟s all about people. We must have the
right talent.
“...rely on understanding and interpreting
increasing volumes of data, not just from
human beings and the vast quantities of social
data from Facebook, Twitter or YouTube, but
also from devices and the growing field of
smart machines and sensors.”
“That is, I think, one of the predominant
problems of Big Data in the world: how do you
find a signal in ever-increasing seas of noise.”
“...the latest numbers show that roughly 35%
of all the world‟s digital photography gets
put onto Facebook.”
60. 60Schneider Electric – Xperience Efficiency 2013
Controlling Energy is Essential
Source: Unites States Environmental Protection Agency website.
“The annual energy bill to
run U.S. primary and
secondary schools is a
staggering $6 billion –
more than is spent on
textbooks and computers
combined.”
“Commercial and
industrial energy use
in the U.S. costs about
$200 billion annually
and creates nearly
50% of our GHG
footprint.”
“Health care organizations spend $6.5 billion on
energy annually. Every dollar a nonprofit hospital
saves on energy equals $20 of new revenue.”
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Big Data Additional Info
http://www.ikanow.com/wp-
content/uploads/2012/08/IKA
NOW-Understanding-Big-
Data.jpg
http://thehealthcareblog.com/
files/2012/04/Text100-Xerox-
HealthcareBN19215.jpg
http://readwrite.com/2011/07/
26/big-data-by-sector-
infographic
http://www.forbes.com/sites/d
avefeinleib/2012/07/19/what-
you-need-to-know-about-
hortonworks-splunk-and-28-
other-big-data-companies/
http://awesome.good.is/trans
parency/web/1009/the-world-
of-data/flat.html
http://www.rackspace.com/bl
og/data-storage-metrics-
compared-to-real-objects/
http://www.asigra.com/blog/bi
g-data-infographic-what-big-
data
http://blogs.sap.com/innovati
on/big-data/make-intelligent-
decisions-with-big-data-
infographic-027213
http://www.techamericafound
ation.org/content/wp-
content/uploads/2013/02/SA
P_INFOGRAPHIC_BIG-
DATA_Final11.pdf
http://readwrite.com/2011/04/
02/data-defined-infographic
62. 62Schneider Electric – Xperience Efficiency 2013
Internet of Things
http://www.cisco.com/web/to
morrow-starts-
here/connectednetworks/prev
iew.html
http://download.intel.com/ne
wsroom/kits/40thanniversary/
pdfs/Its_a_Smart_World_info
graphic.pdf
http://www.zdnet.com/uk/mob
ile-big-data-cloud-m2m-
7000015484/
http://postscapes.com/infogra
phic-intel-internet-of-things
The main point: Trends are always tricky things to discuss.At one end – you run the risk of ignoring them and thinking that they are fads.At the other – you can make too much of them, and think they are “the answer” for all your ills.
The main point: here’s what we will discuss.
Today = for the sake of time, I will just touch on 4 major trends...BIG DATACombining it with analytics for sake of timeHowever, most of us need much better analytics on our “small data” – we will talk about thatCLOUD COMPUTINGThe cloud is doing more and more of the heavy liftingINTERNET OF THINGSA more connected world MOBILE DEVICESIn one sense – this is not a “trend” as a “reality”But, in another – when we have a company like Jawbone acquire a company focused on health monitoring – we want to see what that meansThere are others we could talk about...Social media...Gamification...Cyber security...
The main point: convey/reinforce the “decoupling” concept.Bigger we get, more we use – homes, cities, businesses...We must “decouple.”Renewable energy is part of the solution.Energy efficiency pays – need reliable, auditable measurement and verification.Technology – particularly software – can be good low-cost option.
The main point: data is flowing faster and faster.Machines will rule the world!
The main point: agree on a “definition” of Big Data, define what it isn’t.What it is – what it is not.Facebook sentiment flight upgrade.
The main point: big data is impacting many corners of our society.
The main point: even the CIA, a world-class data management operation, struggles to make sense of it all.
The main point: some industries will be completely redefined by big data.Transportation...?Healthcare...?
The main point: just having “more” data or “bigger” data isn’t the answer. Get good at managing and analyzing your “small” data first.
Let’s transition to Cloud Computing.Two key points to make, but first...
The main point: We couldn’t have hosted this event without the cloud!
The main point: Salesforce.com paved the way + caused a major paradigm shift.
The main point: increasingly, the cloud isn’t just “where files live,” but where “processes get done.”Platform as a Service.Infrastructure as a Service.
The main point: more and more devices are connected.Not just “computers”.New value / opportunity for those who can leverage / mine / interpret.
The main point: The “internet of things” is a concept/phrase used to describe the increasingly interconnected world we live in – it’s not a “technology” in and of itself.
The main point: software innovation accelerated by mobile device ubiquity.
The main point: consider the implications of wearable electronics on your business models.Customers will come to expect us to know when they will arrive and what they will want.We can all be told that as we are eating that burger from Five Guys, our cholesterol is climbing at that very moment...
I call this section the “somebody gets left out” section.Big company like Schneider, too much going on to cover it all.I take a couple examples to illustrate the points.Apologies to our various business units and team members who aren’t represented.
The main points:SE’s software strategic focus is on StruxureWareFront-end stuff like UI, brand names, etc., are affectedMore importantly – back-end integration/interoperability KEY VALUE driverSegment-specific SUITES will drive enhanced value for key segments (Water, Data Centers, Hcare, Grid, etc.)Maybe...Faster project cycles | Latest software releases | Enterprise toolsEnhanced analytics | Interoperability | User experienceScalability | Investment flexibility | Efficiency | Reporting
Four components:1 - Energy Observatory (prices/forecasting in 16 countries)2 - energy performance monitoring3 - on-site diagnostics - energy efficiency improvement plans4 - energy consultancy - design phase of any new industrial site
The main point: many companies already trust their enterprise reporting needs to Schneider Electric.
The main point: Schneider eats it’s own cooking.Over 202 of our industrial/larger office sites in RA.
The main point: We have a very good handle on our global RESOURCE usage and GHG footprint thanks to cloud-based, mobile-friendly software.
The main point: way beyond “electricity” only – we can track projects, benchmark performance, etc.1.2 million+ USD in savings - in just one year
The goal is to get to future forecasting and prediction – this is the true value of StruxureWare.Thanks to the interoperability, we can build more sophisticated and predictive tools for our customers…It starts with ensuring that you have the right data flowing in – MONITORING.Systems and software to get ACCURATE data flowing seamlessly[CLICK]Once we have accurate data, we can perform thorough ANALYSIS.Dashboards and KPI tools that let you fine-tune performanceData is “backward-looking”, but ideally very near-term (minutes or days vs. months or years)Enables efficiency improvements based on past or real-time data[CLICK]Sophisticated analysis allows us to find patterns and build PREDICTION based tools.Modeling, algorithms and forecasting toolsHelps arrive at the “self-healing” facility or processCurrent and past data + algorithms = future predictionEnables PROACTIVE and PREVENTIVE adjustments
The main point: at the highest levels of our organization, capitalizing on software trends to help our customers is a strategic priority.
The main point: Hopefully, you have a lot of questions to ask yourself and your organization as a result of this presentation.Here are four specific ones.
The main point: Once you’ve found answers to those questions, you can take some steps.
The main point: start with a good, honest assessment.Get your small data house in order. (read: ditch the spreadsheets).Benchmark vs. your competition, industry, near-by industries.Assess your maturity. (get your “small” data house in order, ensure data collection thorough, reliable).
The main point: the world is becoming more transparent – comply or be doubted.Transparency!Show the data.Share information transparently. (more who know, more ideas will surface on how to improve). Stakeholder engagement, get folks in on the play. Gamification, competitions internally.
The main point: controlling energy is not just a “cost” you have to incur, but an area that reaps solid ROI.Use measurement & verification techniques to shore up your business plans and claims of savings.
The main point: roles and skills within your business need to change and keep up.
The main point: our data is not our own – increasingly, privacy concerns and cyber security will dominate the national/international agenda.
The main point: data growth/flow is increasing rapidly.
Helping utilities address the challenges of a distributed network of assets – real-time, cloud-based, highly secureSaaS delivery modelGeospatial dataMobile field data collection (tasks, inspections, damage assessment, redlining, etc.)Geospatial information is fed from ArcGIS/ArcFM Server sources.Mobile task configuration and management is hosted in the cloud.Your infrastructure data is not
The main point: devices in homes (or businesses) can open up new revenue streams (services!).