The Data Is InAnalytics Does Get You Ahead in BusinessMAY, 2013
Analysing statistics to create a winning teamMay, 2013Executives in virtually every pro-fessional sports league, from theN...
5How analytics can feed the worldRomancingthe GENOMEImagine being handed a book you knowcan help feed hungry people all ov...
What is the extentof the problem?It’s no surprise to anyone that Canadais suffering from a shortage inskilled labour. But ...
7As the 21-century hits fullstride, technology is changingthe way many manufacturingbased companies operate. Fromassembly ...
Massive Money Moves in Milliseconds8 May, 2013Big data and analytics are makinghuge waves across all industries;however, i...
9According to the NationalAssociation of Home Builders(NAHB), an estimated 8,000 lbs.of waste is generated with theconstru...
YOUR AD COULD BEHERE!!!Be a winner with us and contact oureditorial team ateditorial@troymedia.comWants your opinions.Cont...
In now 40 years ago, British novelistArthur C. Clarke posited, “Any suf-ficiently advanced technology is indis-tinguishabl...
May, 2013Analytics is changing the face ofthe health care industry, whetherdetermining the risk of prema-ture infants cont...
Tracking care trends with analytics makes for good medicine13Call it Health Care 2.0, or call it thepredictable result of ...
Troy Media is a major and respectedmedia supplier of high-quality opinion,analyses and timely editorial.You work hard to c...
Analytics revives Canada’s forest industryAnalytics ImprovesSUSTAINABILITYfor Forestry in CanadaAnalytics is not a new pra...
Salaries for analytic developers will jump over 16% in 201316 May, 2013Now more than ever, if you are adata scientist, ana...
Environment17If you want to imagine the future of ourworld’s environment, according to Dr.Arturo Sanchez-Azofeifa, you nee...
COMPANYHEAD-QUARTERSWEBSITE PHONE1 Absolute Tracking Solutions Calgary 403-252-85222 4abyte Inc.w Cal...
55 Long View Systems Edmonton 780-969-3800 or 1-866-515-690056 Maxxam Analytics Calgary ...
The Data Is In: Analytics does get you ahead in business
The Data Is In: Analytics does get you ahead in business
The Data Is In: Analytics does get you ahead in business
Upcoming SlideShare
Loading in …5

The Data Is In: Analytics does get you ahead in business


Published on

A Troy Media Special Report

Published in: Sports, Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

The Data Is In: Analytics does get you ahead in business

  1. 1. The Data Is InAnalytics Does Get You Ahead in BusinessMAY, 2013
  2. 2. Analysing statistics to create a winning teamMay, 2013Executives in virtually every pro-fessional sports league, from theNHL to the NFL, are finding waysto incorporate analytics – the actu-al term used to describe the techniquespopularized in the recent hit movie – intotheir particular game.The film, based on the best-selling 2003non-fiction book by Michael Lewis, hashelped demonstrate just how important therole of statistical analysis can be in sports.The smart use of data analysis helpedthe Oakland A’s, a subpar and strugglingbaseball team, win a record 20 consecutivegames and their division championshipwhile competing with teams that had asmuch as three times their payroll.Skeptics became true believersThe A’s success using analytics convert-ed skeptics everywhere into new believers.The Boston Red Sox went on to win twoWorld Series after adopting the same dataanalysis methods. And baseball isn’t theonly sport where the edge gained by the useof analytics is spreading.Marc Appleby with PowerScout, a hock-ey analytics company, is part of this man-agement trend for the sport noting, “Thereare lots of performance statistics that areavailable in hockey, but determining whatthose statistics mean is the hard part.”Knowing how many goals a team aver-ages is good, but as Appleby explains,“There are other aspects besides goals andassists that are important. PowerScout hasresearched key statistics from over 14,000NHL games over a 13-year period wherewe’ve discovered winning trends that canbe modeled today to help build a winningteam. Ultimately, our mission is to helpteams maximize their strengths and mini-mize their weaknesses, which is of growinginterest to hockey teams at every level.”Companies like PowerScout are giv-ing coaches and front-office executives abetter look at the complete picture whenthey are assembling their teams during theoff-season. Instead of just focusing on onespecific player, analytics helps determinewhich types of players work best together.Engineers with Formula 1 racing teamsare even finding ways to apply analyticsto gain an advantage over the competitionduring an event.Formula 1 racing team Lotus F1 collectsdata as a race progresses. The informationabout the car, the weather, and the com-petitors is sent in real time to teammateson and off the track, reports Kevin Caseyof InformationWeek. A mobile app is usedfor the driver and information that can givea competitive edge is streamed real-time.Real time analytics provide a cuttingedge advantage and could possibly be usedin a number of other sports. For instance,a football coach using analytics softwarestreaming to a handheld device duringgame play could use the information todetermine what plays have the higheststatistical edge.Football teams are presently using ana-lytics in the same way hockey teams are.Robert Bedetti, a blogger for the HarvardSports Analysis Collective, recentlyemployed analytics to help determinewhich draft picks are the riskiest.Bedetti’s analysis helped him understand“how different positions are valued andhow they tend to live up to, or fall short ofexpectations” to discover that the quarter-back position is one of the riskiest early-round picks. If you pick a quarterback inthe first or second round you were morelikely to end up disappointed; whereas,choosing a linebacker in the first or secondround is shown to be a relatively safe pick.The sports fan also uses analytics.Fantasy football players are relying on datagleaned from statisticians to gain the upperhand.In Papa Chakravarthy’s research paper,“Optimizing Draft Strategies in FantasyFootball,” data was collected from ESPNand Pro Football Reference’s websites todetermine the best auction draft strategythat relies on accurate risk estimation in afantasy football league.Analytics determines risk levelThe study considers several draft stylesincluding points-based drafting, value-based drafting, risk-averse drafting, andrisk-neutral drafting. It attempts to deter-mine the risk level that provides risk-neutral drafting, as well as the ways riskneutrality can increase a team owner’sutility where utility is directly related to thefantasy point output of a team.Regardless of whether you are a teammanager looking to draft the best pos-sible team combination, a sports enthusiastbuilding a fantasy football team, or a teamlooking to use real-time analytics, expectto see a lot more from the sports analyticsfield in the coming years.Brad Pitt’s character in “Moneyball” putsit best, “We’ll change the game.That’s whatI want. I want it to mean something.”n4Analyticsis changing sportsMoneyball isn’t just for pro baseball playersand Brad Pitt anymore.EDMONTON, AB/ Troy Media
  3. 3. 5How analytics can feed the worldRomancingthe GENOMEImagine being handed a book you knowcan help feed hungry people all overthe world. Now imagine you’re toldit has three billion pages, and that it’sonly half the story.In the rapidly-expanding world of DNAsequencing, throw everything you thinkyou know about “big data” out the win-dow. Scientists are hoping to increase theworld’s food supply by mining the ulti-mate data source: the genome.A genome is the complete set of DNAfor a particular organism – all the informa-tion about its heredity, and everything thatmakes it what it is. For the tiniest bacteri-um, that amounts to around 600,000 DNAbase pairs. For more complex organisms,like cows or people, there are about threebillion – times two.“An individual genome has three billionletters, or data points, from each individu-al,” said Dr. Graham Plastow, a professor atthe University of Alberta’s Department ofAgricultural, Food and Nutritional Science.He’s also CEO of Livestock Gentec, wheregenomics research is finding real-worldapplication in Canada’s livestock industry.It’s a big job.“There is a copy from the mother anda copy from the father,” said Dr. Plastow,“and each has three billion parts, and eachcopy of the genome is different. Typicallythere would be three million differencesbetween the copy from the mother (thedam) and the father (the sire) of an animal.”When the Human Genome Projectbegan in October of 1990, the intent was todetermine the sequence of all three billionbase pairs that make up a single person’sDNA. It took 13 years, and cost nearly $4billion. According to Dr. Plastow, manyscientists were strongly opposed to theidea, calling it a waste of time and money.But it was an important first step.“The first sequencing was like put-ting the first man on the moon,” saidDr. Plastow. “But advances in genomesequencing are outpacing Moore’s Law.”Moore’s Law, for the uninitiated, isnamed for Intel co-founder Gordon E.Moore, who noted that the number oftransistors on an integrated circuit doubledabout every two years. Moore suggestedthe trend would continue, and technologyexperts have used Moore’s Law to suc-cessfully predict growth rates of every-thing from computer processing speed tothe number of pixels on digital cameras.But not genome sequencing; at the ratethis science is progressing, it will soon befaster and less expensive than anyone in1990 could have imagined.“In 2009, we sequenced a cow,” saidDr. Plastow, “and that took four years andcost $50 million.” A year later, he said,two bulls were sequenced in six monthsfor about $100,000. Last year, the world’sfirst Brahman bull genome was sequencedin three months for $20,000.And this year, as part of a larger project,Genome Canada is funding the sequencingof 300 bulls, at a cost of around $10,000each – and they expect new technol-ogy will allow a genome to be sequencedevery day. Calling it “big data” doesn’tbegin to do justice to the process – and Dr.Plastow said the sequencing, amazingly, isbecoming the easy part.“Making sense of the data takes a lot ofanalytical and computer power,” said Dr.Plastow. “Converting this data into infor-mation, and understanding what it reallymeans, we will be able to make fastergenetic improvements to improve foodproduction, reduce the time to market –and get more from fewer animals.”And getting more from less is whatit’s all about. Today’s global populationof seven billion is predicted to climb toaround nine billion by 2050; to keep upwith that growth, more food will have tobe produced and more efficient sources ofprotein will need to be developed.Dr. Plastow is among those who arelooking to improve beef productionthrough applied analytics. In many ways,the idea is a natural fit for the cattle indus-try, where selective breeding has been thenorm for hundreds of years.“Knowledge of genetic variants canbe used to improve breeding,” said Dr.Plastow. Importantly, he’s not talkingabout genetic modification; rather, bycomparing their genotypes, the bulls withthe best genetic makeup can be selectedfor breeding programs.The implications for successfully min-ing this data are enormous; breeding onlyanimals with a robust, fast-developingfamily tree means increasing a herd’sefficiency with every new generation. Dr.Plastow estimates that if Livestock Gentecwere able to bring a 5 per cent improve-ment in feed efficiency to just Alberta’slivestock industry, it would amount to $30million in savings every year.Or, as Dr. Plastow puts it, improvingquality by knowing ahead of time whatthe next generation of animals will bringmeans better beef in the long run. And,most importantly, a way to increase theworld’s food supply by mining the ultimatedata source: the genome. And, it mightanswer that plaintive commercial question,“Where’s the beef?” n
  4. 4. What is the extentof the problem?It’s no surprise to anyone that Canadais suffering from a shortage inskilled labour. But it may surpriseyou to learn that analytic softwareand programs could be a key componentto overcoming it.James Freeman, Chief Marketing Officerfor Calgary-based Zedi Inc., a premierprovider of analytics and data services,applications and technology for the oil andgas industry, sums up how analytics couldplay an integral role in the future of labourshortages inAlberta and Canada as a wholein two words: increased efficiency.“Since 2008, the production operationsside of the upstream oil and gas indus-try has lost a lot of experienced people.Through analytics, we can help produc-ers realize potential and become moreefficient with the less-skilled labour theyhave, particularly where gas prices arevery tight,” Freeman said.Essentially, analytics programs analyzedata captured from the producing assets inthe field, and trigger alarms or flag trendsof interest that may deviate from normaloperating conditions. Based on these flags,companies can then focus productive effortto minimize downtime and cost, and maxi-mize labour efficiency.Unfortunately, human resources (HR)and production management in Canadiancompanies are lagging behind when itcomes to implementing core analytics pro-grams into employee performance. In fact,in 2006, an Accenture High-PerformanceWorkforce Study reported that nearly40 per cent of companies surveyed haveno formal measures for determining HRimpact on workforce performance, whileanother 39 per cent have such measures,but only for some HR initiatives.But, the study found that 78 per cent ofcompanies that are leaders on human per-formance criteria are able to demonstrate,with quantitative measures, the impact ofthe performance of the top three workforc-es on the organization’s overall financialperformance. Similarly, 35 per cent of theleading businesses have formal, business-focused metrics – analytics – to gaugethe impact of all of their HR activities onworkforce performance.According to these studies, successfulcompanies are more likely to use analyticsto link HR-related initiatives to businessperformance. The ability to develop busi-ness management plans from this data, toensure that the workforce is working atits fullest potential, can help make up aportion of the labour shortages. Just as thedevelopment of manufacturing machineryreduced the labor force needed to makecertain products, analytics application canreduce the required labor force by improv-ing efficiency in almost any industry.Bringing new workers to the skilledlabour force is important, of course, butfocusing on using the current workforce toits fullest potential may be a better way todramatically ease the burden of the labourshortages that are plaguing Canadianindustries. If all of the reasonable methodsof dealing with this problem are coordi-nated together – greater efficiency throughanalytics, expansions of skilled labour pro-grams, and occasional temporary interna-tional hiring – Canada may overcome thisimpending economic obstacle, and forgeon into a more prosperous future. nA C-Suite survey of Canadian cor-porate executives reported thatdespite the high level of unemploy-ment in Canada, companies couldn’tget all the people they need to fill theskilled positions that are available.Two-thirds of executives said theyare having difficulty finding quali-fied employees, and one-third saidthe labour shortage is so severe thatit is stunting their companies’ growth.Unfortunately, the problem is notone that is going to see an end anytime soon. According to the CalgaryEconomic Development study, thedemand for skilled labour in Albertais expected to increase by more than600,000 workers by 2021. If nothing isdone to increase the number of skilledworkers who are ready and willing tooccupy these job openings, there willbe about 114,000 unfilled vacancies.If steps are not taken to preparefor this severe shortage of trainedworkers, Canada could face a num-ber of long-term economic problemsthat will affect thousands across thenation.So what can be done about thisimpending economic threat? TheCanadian government has explored anumber of options. Many initiativeshave focused on obtaining more for-eign workers from the United States,Ireland, and U.K. to fill these vacancies.Canada’s Temporary ForeignWorker Program was implemented toattempt to deal with the labour short-age head-on, allowing Canadian com-panies to hire foreign workers tempo-rarily to fill these vacancies.Though bringing in foreign work-ers on a temporary basis may remedyimmediate labour needs, it does notaddress the labour shortage in thelong term. Mike Rowe, an advocatefor American investment in trades,believes the biggest problem stemsfrom the lack of young people inter-ested in skilled labour jobs, and thestigma associated with these trades.“Millions of parents and kids seeapprenticeships and on-the-job-train-ing opportunities as ‘vocational con-solation prizes,’ best suited for thosenot cut out for a four-year degree,”Rowe said. “And still, we talk aboutmillions of ‘shovel-ready’ jobs for asociety that doesn’t encourage peopleto pick up a shovel,” he added.By focusing efforts on trainingprograms in skilled trades throughvocational education and apprentice-ships, Canada could find more youthgoing down a skilled trade careerpath. If skilled trades could be legiti-mized and popularized in the mindsof Canada’s young people, the influxof students pursuing skilled appren-ticeships could help ease some of thestress on industries that rely heavilyon these positions.However, getting more students topursue careers in skilled trade willnot happen immediately. So what cancompanies do now to help address thelabour shortages?Analytics could help tackle Canada’s labour shortageLabour pains6 May, 2013
  5. 5. 7As the 21-century hits fullstride, technology is changingthe way many manufacturingbased companies operate. Fromassembly lines to robotics, there hasnever been a slump in innovation.While there are many new techno-logical developments aimed at improvingbusiness hitting the market, analytics, thelatest innovation, has some very troublinglimitations.The idea of analytics in the manufac-turing industry is to simplify produc-tion, increase efficiency, and ultimately –increase revenue. While it is clear to mostindustry mavens that this is a worthyinvestment, it takes more than a computerto integrate such capabilities into a work-ing business. It seems as if the future ofmanufacturing is in analytics, which willdetermine which companies survive.In the “adapt or die” environmentthat is the global economy, companieswill soon have no choice but to commitresources to analytics. This challengeapplies to both small and large manufac-turing companies in different ways.Mark Hamblin, President of DynamicManufacturing Solutions notes that ana-lytics, if applied properly, can have a veryvaluable upside for small and mediumsized manufacturing companies. He indi-cates that analytics can “significantlyimprove operational efficiency and prof-itability” observing that these companiesneed to “convert their physical transac-tions to an electronic form” as an impor-tant first step in the process.Since larger manufacturing companiesare more mature in the application ofanalytics, they are starting to reap someof the higher benefits.Vasu Netrakanti of Optessa Inc., whichprovides predictive analytics softwaresolutions for major automobile manu-facturing plants, says that the benefits ofutilizing such analytics include savingmoney, improved productivity, increasedefficiency and improved environmentalimpact and that the cost benefit fromimproved efficiency is significant.Netrakanti gave an example of how thisworks: “We could run an analysis and dis-cover that by simply changing the way thatcars line up to go into the paint shop wouldmean less times that you have to change outthe colors and clean the machines. It wouldalso mean less use of cleaning solvents.This results in improved efficiency andreduces the environmental impact.”Netrakanti says that although the benefitsare significant, making the initial changesand beginning to utilize analytics is a chal-lenge for many large manufacturing com-panies. “Getting people to change the waythat they think and work is difficult. Costis not really the barrier, it is the technicalchallenges and organizational challenges.”A recent study by Ventana Research, aleading benchmark research and advisoryservices firm, found that only 63 per cent ofthe 2,600 manufacturing employees polledused analytics in their work, while the find-ings also showed that a meager 12 per centof all manufacturing companies work atwhat the research company ranks as a “highlevel of maturity in their use of analytics.”While the reason for the low numberscannot be pinpointed, Robert Kugal,Senior Vice President of VentanaResearch told the magazine that compa-nies aren’t devoting enough resourcesto the new technology, and therefore areunable to utilize it in original ways thatcould help their business. “The manage-ment of data tends to be an afterthoughtin most organizations,” said Kugal.Unfortunately, such rapid growthoften begets its own problems. Analyticsexperts, also known as data scientists,are rare at this point. The learning curveis increasing as fast as the technology,which currently is much too fast for abusy workforce to keep up with. Whereare they going to find all the smart peopleto make sense of all the charts and graphsbeing produced from the billions of bitsof data being captured every day? nAnalytics provides a valuable upside to manufacturers of all sizesreapingManufacturers
  6. 6. Massive Money Moves in Milliseconds8 May, 2013Big data and analytics are makinghuge waves across all industries;however, it is hard to competewith the speed of analytics in thefinancial market. With more and more dataappearing every day, every minute, everysecond, companies rely not only on theorganization and analysis of large quantitiesof data, but also on the speed at which it canbe computed. The competitiveness in theindustry is at the point where every instantmatters and the transcendence of analyticsis unheralded in the industry of finance.Brett Vasconcellos, Director ofEnterprise Architecture at BIDS TradingTechnologies, knows how importantfinancial analytics have become in theindustry. BIDS Trading is a block tradingcompany that helps institutional investors,including mutual funds and hedge funds,buy large numbers of shares at a time.Companies like BIDS Trading are able tosecurely process massive amounts of dataat unbelievably fast speeds.The sheer speed of it is difficult tofathom. Vasconcellos pointed out someinteresting comparisons to help put this intoperspective: “Options markets count over20 billion messages per day. That exceedsdaily Google searches, Facebook shares,and tweets through Twitter combined.NASDAQ boasts round-trip times of lessthan 100 microseconds. (A micro-secondis one one-millionth of a second.) Thismeans the round-trip times for NASDAQare roughly 1000x faster than a Googlesearch.” This makes NASDAQ look like aracecar and Google like a little red wagon.”Why does such speed matter?Vasconcellos explains, “To some firms,each millisecond (1/1000 of a second)gained or lost is worth an estimated $100million in revenue per year.”“We capture 200 million data points perday,” said Vasconcellos. “We process upto 10 million transactions (orders to buyor sell shares) daily, and we archive every-thing about each transaction, both to meetregulatory requirements, as well as provideus data for analyzing our trading model.”With such large amounts of data andthe need for speed, Sean McClure, DataScientist and Partner at Excellerate Inc., abusiness analytics consulting firm, believesthat the financial industry is leading therace in applying analytics: “In other indus-tries these same capabilities are starting todevelop, but the financial industry is reallyleading the way. This is because advance-ment comes down to trying to make thetechnology meet the user requirements and,in the financial industry, those requirementsinvolve people needing to make fast deci-sions on very large and complex amountsof data.”“What’s most interesting is the factthat we are starting to see industry hand-ing over decision-making to computers,”says McClure.“This has real prominence in the finan-cial space because of the sheer amount ofdata and the need to act on informationrapidly. There are massive amounts ofinformation coming in from everywherethat affect the market; everything fromwhat’s happening in politics to naturaldisasters, and the player in the game whocan take advantage of the informationquickest has the most to gain.”Excellerate Inc. focuses on businessintelligence to support organizationsin making data driven decisions. Theyrecently launched a sister company calledWhiteBox, led by Sean McClure as theChief Data Scientist, that is dedicated todeploying advanced data mining algo-rithms and artificial intelligence intosophisticated software solutions for busi-nesses in western Canada. With the maintarget in the financial sector being speed,Excellerate and WhiteBox aim to bringrapid analysis and high-end analytics toa variety of companies in this industry.McClure believes, “companies are startingto view data as their biggest asset to stay-ing competitive,” which makes speed thatmuch more essential.Improving systems to increase speedis not done easily, however. “Finding thebottle necks to make the system faster isdifficult,” says Vasconcellos. “It’s ratherstraightforward to accelerate a systemwhere a transaction takes a second, thereare many places to optimize. But whenyou are trying to shave time off of onemillisecond, like a Formula One mechanicyou must squeeze a few percentage pointsof performance out of every component inthe system.”Vasconcellos adds, “One of our morecomplex reports we run acts as a double-check to ensure people are not abusingthe system. This was originally run once aquarter, but as our business grew, our needincreased to monthly, then daily, and now inreal time, finding a problem as it is occur-ring. This trend toward real time analysisis happening everywhere in the industry.”Being able to process big data in realtime is the game changer. The financialindustry is pushing the advancement offast and real time big data analytics and thename of the game is speed. nAnalytics changingthe finance industryAnalytics changingthe finance industry
  7. 7. 9According to the NationalAssociation of Home Builders(NAHB), an estimated 8,000 lbs.of waste is generated with theconstruction of a 2,000 square foot house.The majority of that waste comes most-ly from the on-site building process andconsists of wood, cardboard and drywall.Klaas Rodenburg, CEO of Alberta Centreof Excellence for Building InformationModeling (aceBIM), a not-for-profit orga-nization dedicated to introducing the ben-efits of BIM into industry, notes: “Framers,for example, will take the first 2 x 4 thatthey see and cut it to fit their specifica-tions. They then discard the unused pieceof 2 x 4 and grab a fresh piece and repeatthe process. At the end of a job, the site islittered with a large stack of discarded andunusable pieces of framing materials anddrywall.” But that is about to change.While home builders are using modernmaterials, new design methods, and state-of-the-art technology, the actual building ofthe house has not changed much over thelast 100 years. They are still built one brickor piece of wood at a time. The technologybeing used is used mainly in design aspectsof the construction industry and very littleelsewhere, but that may be changing.A technology that can be used by thehousing industry is called lean manufac-turing. Professor Lauri Koskela, a leaderin lean manufacturing theory, says thisprocess helps “design production systemsto minimize waste of materials, time, andeffort in order to generate the maximumpossible amount of value”.Building Information Modeling (BIM),is a digital representation of the physicaland functional characteristics of a facilitywhich can transform the housing industryinto a lean manufacturing force.BIM allows companies to utilize thewaste created during the building process.All waste material is added to the digitalknowledge base – or BIM system – andcan then be re-routed to another project foruse. The wood and drywall can even be cutto specification in a factory in advance andassembled at the site in only a few days.This cuts waste significantly in both energyconsumption and overall wasted materials.To go a step further, many lumber yardsand contracting facilities have lumber andother expensive housing components lyingaround for extended periods, waiting to beused. During this time, materials can bedamaged or ruined. BIM acts as an inven-tory control system to ensure material isused in a timely manner.Duplication is another issue thatplagues the housing industry. Accordingto Rodenberg, “There are people out there(who are) saying we can reduce the cost ofbuildings by 50 per cent by not duplicat-ing things and doing things over and overagain. Especially when you start looking atenergy, how much does a bad decision costyou over 30 years?”A company using a BIM system basedon lean manufacturing theory will onlyhave materials on hand for upcomingprojects. They know when they will needcertain components and when to orderthem. The process of materials distribu-tion and management is much more con-tained in a BIM system.LandmarkGroupofBuildersinAlberta,Canada, is one building company usingBIM principles and lean manufacturingto tackle these issues head on. It is usinganalytics to transition traditional buildingdesign methods to a virtual level: two-dimensional drawings are turned into athree dimensional world. With the cur-rent advances in analytics and software,companies now have the ability to addintelligence to the building process. BIManalytics know almost every aspect ofthe building inside and out, before it isbuilt. BIM can even tell you where pipesare located and how much water will beflowing through them.Scenarios can even be designed to testhow a building will withstand earthquakesor being moved to another part of theworld with a different climate. You canalso monitor how minor changes in design– such as adding solar panels or sun-shades to certain parts of the building –will effect energy consumption.Analyzing all the variations of thedata provides companies, like LandmarkGroup, the ability to create sustainableand efficient homes of exceptional quality.But, not only will the homes be efficient,they can be built in a fraction of the timethat a conventional builder takes.But it doesn’t end there.In 1993, the U.S. Federal EmergencyManagement Agency did a study calledBuilding Performance after HurricaneAndrew. The study found that panel-builtand modular homes and BIM-style homesthat had portions built in factories weath-ered the hurricane far better and outper-formed their conventional counterparts.FEMA stated that the reason for thedifference came down to quality of work-manship. Both Modular and BIM-stylefactory manufactured parts had an inher-ently more rigid system that performedsignificantly better than conventionallyframed homes. FEMA was surprised tofind that even rafters remained intactbecause of the rigid design structures.The BIM model provides homes thatare sustainable and of higher quality stan-dards than traditionally built homes. BIMhas created a truly industry changingprocess. However, the adoption of thisprocess by the industry is slow to occur. nTransforming theCONSTRUCTION INDUSTRYAnalytics cuts down on waste
  8. 8. YOUR AD COULD BEHERE!!!Be a winner with us and contact oureditorial team ateditorial@troymedia.comWants your opinions.Contact us at
  9. 9. In now 40 years ago, British novelistArthur C. Clarke posited, “Any suf-ficiently advanced technology is indis-tinguishable from magic.”Today, with the explosion of data andthe means to evaluate it, he might havewritten that “any sufficiently advancedanalytics system is indistinguishablefrom true artificial intelligence.”As these systems increase in complex-ity, we will likely see improvements inour lives never before imagined, even byClarke. But there will be pitfalls to avoidalong the journey, according to experts,and the time to think about addressingthem is today.“Part of the challenge is figuringout what is science fiction, and whatis potential reality,” said Kim Solez, aProfessor of Pathology at the Universityof Alberta’s Department of LaboratoryMedicine and Pathology. “A lot comesdown to timing; what will happen whenwe reach the technological singularity?”You might be forgiven for not havingheard of the “technological singularity,”but according to Solez, it’s only a matter oftime – and when it occurs, it’s not just goingto change the way we think. It’s going toredefine who we are as a species.Solez spends more time thinking aboutthe future than perhaps most, and with goodreason. He teaches a course on Technologyand the Future of Medicine, and part of hisclass is devoted to an exploration of howthings might be when computers start tocompete with the human brain.“The technological singularity is basi-cally the situation where machines becomesmarter than we are, and take over theagenda of the world,” said Solez. “Themachines are in charge, and only by coop-erating with them can we even understandwhat’s going on.”If the notion seems outlandish, it’s help-ful to understand that it stems from combin-ing two widely-accepted ideas; that techno-logical advances are exponential, not linear(as posited by Moore’s Law), and that thesetechnological advances will, ultimately,eliminate all manner of scarcity worldwide.“In the post-scarcity world, everythingis cheap and easy,” said Solez, “and everyexperience you want to have you can have,because virtual reality is as good as reality.”Right along with the elimination ofscarcity, Solez imagines the eliminationof disease; medicine, in the future, mightsimply be the process of augmentingperennially healthy people.“If medicine is just disease, then at anyone time it is only of interest to people whoare sick,” said Solez. “Medicine will soonbe focused on advancement of humans –to help human beings run faster, be taller,think better, and all the things we can imag-ine that will improve humanity.”But while it might sound like somethingof a utopia, Solez warns the post-sicknessera of the future might not come withoutcost; we could eliminate all disease and stillhave a terrible world, he said.“It’s sort of going to be the best of times,and the worst of times,” said Solez. “On theone hand, the possibilities of post-scarcityand abundance would be there; but also thepossibility of human insignificance, a feel-ing of aimlessness and lost sense of purpose– maybe even a loss of identity.”That’s because we can expect that themachines, continuing their exponentialgrowth, will be able to self-improve veryquickly – and pass through the moment oftechnological singularity in the blink of aneye. The instant we perceive they are assmart as we are, according to Solez, theywill start to become much, much smarter.How are we going to remain significantplayers in the world when machines areso much more intelligent? If the questionsounds too hypothetical to warrant consid-eration, Solez points not to robots in themanufacturing industry, where we’ve per-haps grown accustomed to being outpaced– but to the world of complex games.“It’s already happened in chess,” saidSolez, noting computers have been out-witting Grand Masters for years. “Andit’s happened on the television show‘Jeopardy’ – a computer beat not just anycontestants, but the best the show had tooffer. And it was made clear the machinecould go on winning forever.”Solez and other forward-minded thinkersagree computers will have the technologi-cal ability to out-think us in all arenas, notin 500 or 100 years, but by 2045 – just 32years from now. Solez said that means it’stime to get to work.“We need to mainstream the idea of thetechnological singularity, to get everyonethinking about it as fact, not fiction,” saidSolez. “We need to promote organizedthinking about the future, in universitiesand beyond, to make a better world forall of us.” n1111It’sMAGICAnalytics are smarter than we are
  10. 10. May, 2013Analytics is changing the face ofthe health care industry, whetherdetermining the risk of prema-ture infants contracting life-threatening illnesses, decreasing the fallrisk of patients, or ensuring that emergencyresponders are within a reasonable distancefrom your home.Toronto’s Hospital for Sick Children hastested an analytics system that can predictmore accurately than ever before whichpremature babies are at greatest risk for dis-ease and infection. And, the University ofOntario Institute of Technology (UOIT) isusing IBM’s InfoSphere Streams softwareto correlate thousands of real-time datasources and analyze the information beingcollected from over 400 premature infantswho were monitored at the hospital. Thesystem looks closely at data such as heartrate, temperature, blood saturation, andblood pressure levels; it is then streamedto the system 24/7 to provide a look at thebabies’ health in a way never seen before.So far, the InfoSphere streams have cap-tured two decades worth of data for these400 patients via constant monitoring.UOIT analyzes the data in many ways,including discovering the onset of sep-sis and various other conditions beforethese problems occur, reports Dr. CarolynMcGregor, the Canada Research Chair inHealth Informatics at UOIT. They hopeto be able to detect if the baby is about todevelop any life-threatening infections 24hours before visual onset. While medicalpersonnel have traditionally used indicatorssuch as body temperature to monitor forthe onset of infection, analytics is providing“a much richer environment” to analyze awider variety of conditions that babies candevelop, MacGregor adds.Premature infants are not the onlypatients reaping the benefits of analyt-ics. In a case study performed by IBM,Evangelical Lutheran Good SamaritanSociety (ELGSS), in Sioux Falls, SouthDakota, used advanced case managementto analyze data patterns that improved busi-ness processes and enhanced patient care.Rustan Williams, the VP of informationsystems and technology systems and CIOfor ELGSS, says one specific area it usesanalytics is determining whether a patientmay be a fall risk. If the patient is deter-mined to be at risk, special measures can betaken to ensure the patient’s safety.The use of analytics in the medicalcommunity extends beyond the hospital.Ambulance services in many areas are nowstarting to use analytics to help increaseefficiency. Companies such as Canada-based Darkhorse Analytics are using theprocess to offer assistance to these compa-nies in a wide array of areas.“Healthcare in Canada,” Daniel Haight,a founding partner for Darkhorse Analyticssays, “has started taking over ambulances,so all services have a computer-aided dis-patch system, unless they are really small.It is through their own database that theycollect every call that comes in. The datais broken down into very detailed intervalsof performance. We collect all the data andmine it for insight. Darkhorse identifieswhere problems are occurring and thenhelps come up with a plan of action. Haightexplains that each problem area has differ-ent issues. Some municipalities have plentyof emergency vehicles but not enough sta-tions, while others have plenty of stations,but not enough vehicles. Through dataanalysis, Darkhorse is able to make sugges-tions on where stations should be located,how many vehicles should be housed ateach, and the hours the stations should bemore heavily staffed. nPaving the way tobetter health careAnalytics could detect problems before they occurThe University of OntarioInstitute of Technology (UOIT)12‘Efficient data collectionpartnered with intelli-gent analytics is a recipefor higher quality healthcare overall and is theroad to the future.’Daniel HaightFounding partnerDarkhorse Analytics
  11. 11. Tracking care trends with analytics makes for good medicine13Call it Health Care 2.0, or call it thepredictable result of a populationmore willing to embrace technol-ogy and take greater responsibilityfor their own wellness.But there’s little question among indus-try professionals: patients, at least in theinformation age, are no longer the passiveobservers of their health care process theyonce might have been.And those same pro-fessionals are discovering innovative waysto leverage their patients’ growing desirefor involvement into good medicine andhealthy practices – more personalized carethat’s more efficient.“What we have witnessed since theemergence of the Internet is that citizensare interested in health literacy and com-petency,” said Dr. Don Juzwishin, Directorof the Health Technology Assessment &Innovation Department at Alberta HealthServices. “They want to have access tocredible knowledge and information.”And where some medical profession-als cringe at the notion of their patientsself-diagnosing, Dr. Juzwishin believes it’sexactly the right prescription for them –pro-vided they’re given sensible, trustworthytools to guide their journey. His departmentis working to socialize the idea of per-sonal health data tracking, so-called “socio-technical systems,” where patients utilize avariety of methods to collect and analyzetheir own health data.This is the objectiveof Alberta’s Personal Health Portal.“There are also applications emergingthat you can use to monitor your physicalactivity,” said Dr. Juzwishin, “applicationsthat you can use to take pictures of yourfood to provide a calorie count. We aretry-ing to encourage the ways citizens can takemore responsibility for their health.”It’s an effort not unfamiliar to JasonPincock, CEO at Dynalife Diagnostics.The science of coaxing meaningful pat-terns from large amounts of data – knownas “analytics” – forever changed the wayhis 52 year-old laboratory testing com-pany did business.“We used to just take blood and handback a result,” said Pincock. Now,according to Pincock, Dynalife has founditself gathering and aggregating data thatcan span a patient’s lifetime – and, withwider focus and analytics, identify caretrends in larger populations.And that, Pincock said, is the sort ofground-level information that adminis-trators can use to craft effective – andvalue-driven – policy.“Using the data, we can find, forexample, if we have populations ofpatients where the right things are nothappening,” said Pincock.IImagine a group of patients with acommon ailment where a certain clinicalcourse of action is indicated, somethingas simple as performing a particular bloodtest periodically. If that group’s caregiversaren’t performing the number or type oftests expected, a red flag goes up.“Someone who has diabetes shouldhave test x,” said Pincock, “and if thosetests do not show up, we know somethingis wrong.”And going forward, Pincock agreesthat health care data will continue tomove out from behind the physician’scurtain –and into patients’ smartphones.“The future of health care is putting datain the hands of individuals,” he said, “sopatients can self-monitor, making thephysician a coach and guide.”“In the future, you won’t have to lookat the data at all,” said Dr. Locksley E.McGann, Laboratory Director at CanadianBlood Service’s Edmonton HematopoieticStem Cell Laboratory. “The system willinterpret the data, and advise you of thebiggest problem areas and risks.”Right now, according to Dr. McGann,the system is practically set up backwards.When we don’t feel well, we enter thehealth care system and we expect the sys-tem to take care of everything.“Compare this to your car,” he said. “Youdon’t wait until it is broken down; you getan alert light and you go in before it getsworse.”The next step for health care, accord-ing to Dr. Juzwishin, is having patients beaware of and monitor their health status andhaving them take corrective action beforethey develop a chronic or debilitating dis-ease. Citizens and the health system work-ing effectively together to avoid chronicillness will also create a more sustainablehealth care system.“Consider the vast power of the currentlyun-mined data that is resident within datarepositories,”saidDr. Juzwishin. “Imaginehow powerful that data would be in termsof identifyingwhat are effective interven-tionsand those that are not”.Dr. McGann uses the example of aroofing company going online to lookat satellite photos of a potential cli-ent’s roof, and providing the homeownerwith a quote for new shingles – withoutknocking on a single door.“If we were collecting and effectivelyinterpreting more data,” he said, “wecould make better decisions as we see theresults – and get things fixed before theybecame a bigger problem.”“It’s all about keeping people out ofthe hospital if we can,” said Pincock.“Analytics is still held on the providerside of health care. We need to give thesetools to the public.” nHealth Care 2.0
  12. 12. Troy Media is a major and respectedmedia supplier of high-quality opinion,analyses and timely editorial.You work hard to create brandawareness and to raise your profile.You want to make sure your effortsare effective.That’s whereWE come in.Trusted by major mediaoutlets across Canadaand the world.
  13. 13. Analytics revives Canada’s forest industryAnalytics ImprovesSUSTAINABILITYfor Forestry in CanadaAnalytics is not a new practice forthe forestry industry, althoughbreakthroughs in analytics tech-nologies over the last five yearsare making rapid transformations in for-estry sustainability and how the industryoperates.According to Tom Grabowski, presi-dent and CEO of The Silvacom Group,a consulting and technology solutionsservice that has been serving the for-estry industry for 30 years, advancementsin analytics have rejuvenated the forestindustry over those five years.“Late breaking technological advancesare changing the forestry industry,” saidGrabowski, “Analytics is helping for-estry be more competitive and to bettermanage the forest inventory. Analyticshas importance on all land based activity,forestry, oilfield, development etc.”“TThe forestry industry has always beentrying to measure forests and project howwe should be managing the forest so wecan have a sustainable yield and perpetualsupply.” said Grabowski, “The forestryindustry has been a data industry for manyyears . . . counting trees . . . starting fromhundreds of years ago in Germany.”Such perpetual supply is a breakthroughthat will revolutionize the industry; how-ever, the full results of forestry analyticsare still unfelt relative to its future poten-tial. According to Grabowski, “We willsee huge changes.”The size of Canada’s forestry industrymeans that these changes wont go unno-ticed. Canada’s forest sector is the largestnet exporter in the country and recorded$57.1 billion in total revenue in 2011,which accounted for 1.9 per cent of thecountry’s gross domestic product (GDP),according to Natural Resources CanadaStatistics.According to Natural ResourcesCanada, Canada was the second largestglobal exporter of major forest productsbehind the United States in 2011, and thefourth largest when all forest productswere considered.Natural Resources Canada reported thatthe forest industry was responsible for thedirect and indirect employment of nearly600,000 people in 2011. Successes in theforestry industry are not only good for theeconomy; they are good for the job market.While forestry analytics is clearly changingoperations and automating parts of the busi-ness, Grabowski says its advancement willnot result in the loss of jobs.“Jobs are becoming automated and semi-automated,” said Grabowski, “Although,people are not being replaced by technol-ogy, rather jobs are being redeployed andcomputers are doing the work that peopleused to do. The work is changing frompeople doing the work, to the people tellingthe computer what to do.”This is a positive turn of events.“Forestry took a dive shortly before therecession hit; it is coming back now,swinging... and heading in the right direc-tion.” said Grabowski.The use of analytics has benefited forest-ry in ways unimaginable just a decade ago.These new ways of plotting data, viewingtrends, and predicting future patterns, haveimproved management of forest inventoryand emerged as a vital instrument in allland-based activities. These new analyticalsolutions allow forestry companies to planand execute activities for the future, some-thing that the industry has been striving forsince the beginning. n15
  14. 14. Salaries for analytic developers will jump over 16% in 201316 May, 2013Now more than ever, if you are adata scientist, analyst, or analyt-ics professional, the job marketis at your mercy. Companies ofall types and sizes, from the biggest of theFortune 500 to the smallest start-ups, arejumping on the bandwagon, investing innew technology and subscribing to cloudservices and hiring more data scientists.Wanted Analytics, a business intelli-gence agency, reports that tech salaries willincrease 5 per cent in 2013 and leave roomfor negotiations due to increasing demandbut the biggest increase will be for analyticdevelopers. Their salary will jump 16.3 percent per cent, and could see an even greaterincrease in the coming years.The growth and success of business isthe top priority for every company andin today’s society that means better met-rics. “Measure everything” is increasinglybecoming the battle cry of many compa-nies and by all accounts they are collectingdata like never before.The amount of data being measuredevery day is growing at a staggering rateand all the evidence points to contin-ued exponential growth. As informationgrows, so do the job opportunities in thefield of data analysis.JohnManoogianIII,co-founderandchieftechnology officer at 140 Proof, told USAToday that, “It’s never been a better timeto be a data scientist.” The numbers don’tlie and the salaries don’t hurt. For thoselooking to get into data science, or morebroadly, the field of data analytics, the mar-ket is ripe and the opportunities abound. Asdemand from business increases, collegesand universities are being forced to expandtheir curriculum to prep future analysts forthe ever-growing marketplace of technol-ogy. However, even with an increasingnumber of students honing their analyticskills, the rate of technology is still wayahead of human knowledge and this meansthat as long as technology continues togrow, the market should stay strong for datascientists looking to cash in on their talents.According to Tech reporter Jim Schwartzof USA Today, the field of analytics hasexploded over the last year and a half anddemand for tech workers is projected togrow at a total rate of 19 per cent by 2020,further increasing the need for graduateswith analytics degrees or at least someknowledge in the field.With high demand and a limited supply,knowledge in analytics has another benefitin today’s market, and that is opportunity.The job site currently listsnearly 18,000 available jobs in “Big DataAnalytics,” while companies like the gam-ing company EA Sports hopes to hire up to5,000 engineers in the field of data manage-ment and commerce in the United Statesalone by the start of 2020. Such demandmeans that companies need to offer com-petitive salaries in order to attract the bestquality analysts, who will be able to pick ajob like a kid in a candy store.In this growing and morphing field ofdata analysis there are newly emerging, aswell as established, positions and suitabletraining comes from a variety of educationand training backgrounds.According to ALIS (Alberta LearningInformation Service) a comprehensiveresource for researching occupations andeducational opportunities in Alberta, theminimum academic requirement for manydata analysis positions is a bachelor’sdegree in computing science, statistics orcomputer engineering, although master’s ordoctoral degrees are often required for thehigher level positions.ALIS also notes that some of the per-sonal characteristics needed for successin this field include an aptitude for andinterest in mathematics, statistics and data-bases, an interest in applying scientificprinciples to solve practical problems, theability to analyze information and under-stand abstract relationships and the abilityto think logically. Employment directionsrange widely with a variety of employ-ers including medical and educationalresearch agencies, natural resource com-panies, environmental research compa-nies, market research companies, pharma-ceutical companies, large retail companiesand post-secondary institutions.The increase in analytics jobs is not theonly thing that is changing. Many jobs,themselves, are changing in nature and arestarting to require data analysis skills.Jason Pincock, CEO of Dynalife, anAlberta based medical laboratory thatemploys 1,200 Albertans reports thatlab techs used to work with blood andchemistry but now it’s all data and tech-nology related – it is becoming a veryIT-centric field.The good news for future and currentdata analysts is that their skills can translateto most industries because the overall inter-pretation is similar across data platforms.While there are clearly technical differ-ences, depending on sector, analysts arelearning how to adapt on the fly to differentmodules. The bad news for data scientistsis that with the constant growth of analyt-ics, their knowledge may become obsoleteas technology evolves which will requirecontinuous learning an adaptation. But fornow, things are looking good for the fieldand employment opportunities are vast. n“It’s never been a bettertime to be a data scientist”
  15. 15. Environment17If you want to imagine the future of ourworld’s environment, according to Dr.Arturo Sanchez-Azofeifa, you need toembrace the tenets of “e-science.”It’s the so-called “fourth paradigm” ofscience, a term coined in 1999 by then-Director General of the UK ResearchCouncils Sir John Taylor.As a concept, it’snothing more seemingly uncomplicatedthan big-data analytics being applied toscientific endeavours. Not unlike the firstthree paradigms – understanding that theEarth revolves around the sun, the notionof quantum physics, and the creating ofcomputers in the 1970s – the implica-tions and potential applications of the ideaweren’t immediately apparent.But as the equipment to collect scientificdata became more affordable; the technolo-gies to track everything from birds to the airitself became more refined and widespread.Data sets previously too large to create outof field notebooks became reality, and theadvanced computing age opened up thepossibility of actually making sense of vastamounts of scientific information.Applying analytics to large scienceendeavours is an increasingly successfulapproach for many fields of study, and it’sbringing researchers to large-scale discov-eries that might affect the fate of the planet.“For a long time analytics has been usedin the business world,” said Dr. Sanchez-Azofeifa, who leads the Centre for EarthObservation Science at the Universityof Alberta’s Department of Earth andAtmospheric Sciences. “But we are start-ing to use it for environmental monitoring,putting sensors everywhere. It’s shiftingthe way we do science.”And not in a small way. An analyt-ics project Dr. Sanchez-Azofeifa leadsin the Brazilian state of Minas Geraischanged the way 16,000 square kilome-ters of tropical “dry forest” was classifiedunder Brazilian law – allowing it to comeunder federal conservation protection in acourt case that will likely transform howenvironmental protection is granted acrossSouth America.Tropi-Dry, an effort of the Universityof Alberta funded by the Inter-AmericanInstitute (tself supported by the U.S.National Science Foundation) utilizes sev-eral years’ worth of ecological and socialscience research. In this case, a loggingconsortium faced a court challenge whenit wanted to harvest within one of Brazil’sso-called tropical dry forests. While rain-forests receive the lion’s share of environ-mental interest and protection in SouthAmerica, tropical dry forests play a specialpart in maintaining ecological balance.Characterized by long seasons ofdrought and hundreds of uniquely-adapt-ed tree species, tropical dry forests dis-play higher mammal numbers than rain-forests, and provide a home for a remark-ably wide variety of wildlife. Tropi-Dryresearchers established remote-sensingmonitoring systems that spanned theregion, collecting vast amounts of eco-logical data in real time. Additional datagathered by the project’s resident expertsin biology, ecology, forestry, mapping,sociology, anthropology, forestry andstate policy contributed to a growingpicture of the region.Analysis of that enormous data set dem-onstrated the forest was arguably an exten-sion of the already-protected Atlantic rain-forest, providing a necessary buffer zonebetween human use and the biologicaldiverse – and federally protected – eco-system there. Brazil’s superior court wasconvinced; logging, which under state lawcould have taken as much as 70 percent ofthe tropical dry forest, was halted.The ruling set a precedent that could,with the implementation of similar ana-lytics projects elsewhere, help other con-servation efforts. And, according to Dr.Sanchez-Azofeifa, It was an analysis thatcouldn’t have been imagined in scope orspeed just a few years ago.“In the past, we would put up a sensorand come back six months later and findout what changes happened,” he said.“There was a lag between when we col-lected that data and when we would findout what was happening. Now we usereal-time sensors, and we can see changesthat are happening now.”The “happening now” approach, andthe increasing integration of analytics intoscience, makes fields like biology morenimble; imagining new ways of interpret-ing data in turn inspires researchers tofind new ways of collecting it. The systembecomes exponentially more productive,and can begin to handle topics previouslybeyond our reach.It’s an approach that can improve ourunderstanding of areas as complex as anecosystem, or phenomena as seeminglyunpredictable as a hurricane. Dr. Sanchez-Azofeifa said computer models now inter-pret real-time weather data to offer pre-dictions about possible storm speeds andtrajectories – efforts that save more livesthan scientists even a decade ago might’vedreamed. All of it relies on mountains ofinformation – and those mountains showno signs of getting smaller.“We have massive amounts of data,which brings a challenge,” said Dr.Sanchez-Azofeifa. “Now we need to con-tinue developing tools to understand andbring meaning to the data.” nAnalytics reshapingenvironmental monitoringItevenchangedtheway16,000squarekilometers of tropical “dry forest” wasclassified under Brazilian law
  16. 16. COMPANYHEAD-QUARTERSWEBSITE PHONE1 Absolute Tracking Solutions Calgary 403-252-85222 4abyte Inc.w Calgary 403-978-95163 4WEB.CA Edmonton 1-877-470-49324 Acrodex Edmonton 780-426-44445 Alberta Centre of Excellence for BIM Edmonton 780-419-60706 Alberta Council of Technologies Alberta 780-990-5874 or 1-866-241-75357 Alberta Geomatics Group Alberta 403-541-11198 Alberta Innovates Centre for Machine Learning Edmonton 780-492-48289 Awarebase Edmonton 780-988-886210 Bids Trading Technologies Calgary 403-476-111111 Blackbridge Networks Lethbridge 403-332-600012 Blue Train Edmonton 780-628-741413 Calgary Scientific Calgary 403-270-715914 Canadian Cloud Coucil Calgary 1-855-285-977415 Catch My Data Edmonton 780-902-655816 Cleankeys Inc. Edmonton 780-702-1473 or 1-800-661-8406x22317 Clinisys EMR inc. Edmonton 780-440-117218 CMG Modelling Group Calgary www.cmgl.ccom 403-531-130019 Code Excellence Calgary 403-875-080920 Code Expert International Calgary 403-804-449521 Complex System Inc. Calgary 403-452-431222 Coole Immersive Edmonton 780-718-900423 Cybera Calgary 403-210-533324 Dakota Analytics Calgary 403-264-699925 Darkhorse Analytics Edmonton 1-800-261-183226 Data Gardens Edmonton 780–784–500027 Datacan Red Deer 403-352-224528 Datahive Calgary 403-313-110629 Decisive Farming Irricana 403-935-4929 or 1-800-941-481130 DG Humphrey and Associates Ltd. Edmonton 780-399-725531 Drivewyze Edmonton 1-888-988-159032 D-Tex Inc Calgary 780-665-159933 Dycor Technologies Edmonton 780-486-0091 or 1-800-663-926734 DynaLifeDX Edmonton 780-451-3702 or 1-800-661-987635 Dynamic Manufacturing Solutions Edmonton 780-488-6116 or 1-877-488-616636 EvidencePIX Calgary 587-434-008137 Excellerate4Success Calgary 403-668-733738 Expert Decisions Calgary 403-239-118039 Explorus Calgary 403-616-480740 Faction Four Systems Beaumont 780-446-731141 GetWellNext Edmonton www.getwellnext.com42 Granify Edmonton 1-888-340-842943 Green Analytics Edmonton 780-462-323544 Headcount Edmonton 780-463-7004 or 1-877-463-700445 Ideaca Alberta 1-866-265-433246 Innovotech Edmonton 1-888-670-544547 Intelligent Imaging Systems Edmonton 780-461-3355 or 1-877-393-393948 Invidi Technologies Corp Edmonton 780-420-046949 Ithiam Holdings Bragg Creek 403-630-878550 Ivrnet Calgary 403-538-0400 or 1-800-351-722751 Kiribatu Labs Ltd. Edmonton 780-232-263452 Knight Enterprises Calgary 403-237-995153 Latium Fleet Management Nisku 780-955-108854 Localize Your Food Edmonton 780-720-1430Analytics Business Directory 2013The following Made-in-Alberta small businesses have been identified as supplying analytics servicesAlberta Analytics Industry MagazineMay, 201318
  17. 17. 55 Long View Systems Edmonton 780-969-3800 or 1-866-515-690056 Maxxam Analytics Calgary 403-291-3077 or 1-800-386-724757 Metabolomic Technologies Inc. Edmonton 780-245-086558 Mechatroniq Systems Calgary 403-287-6567 or 1-877-277-656759 MPK Analytics Edmonton 1-866-406-018760 MRF Geosystems Calgary 403-216-5515 or 1-877 216-551561 NetworksMD Calgary 1-800-669-046362 Nirix Edmonton 780-414-155663 OKAKI Health Edmonton info@okaki.com64 OnX Enterprise Solutions Edmonton 1-866-906-466965 Optessa Edmonton 780-431-842666 Orbital Software Solutions Edmonton 780-800-497067 Osprey Infomatics Calgary 403-460-477968 Parvina Solutions Calgary 403-879-775969 Pleasant Solutions Edmonton 780-463-887570 Pivot Data Centres Calgary 403-248-6700 or 1-800-4655-169771 Power On Ltd Calgary 403-875-207972 PPM2000 Edmonton 780-448-0616 or 1-888-776-977673 Primus Edmonton 1-888-411-60774 Proactive IT Management Edmonton 780-414-033975 Quercus Solutions Edmonton 780-409-818076 Radient Technologies Edmonton 780-465-131877 Random Knowledge Edmonton 780-428-921878 Rent Relay Edmonton 1-855-498-736879 Rigstar Communications Calgary 403-243-0600 or 1-866-535-241880 Robots and Pencils Calgary 403-453-005381 Rocketfuel Games Edmonton 780-414-0975 or 1-877-837-508782 Safetracks GPS Solutions Edmonton 1-877-761-447783 Scanimetrics Edmonton 780-433-944184 Serious Labs formerly 3Di Edmonton 780-440-112885 SigniaAnlaytics Inc. Edmonton 780-668-536986 Silent-Aire Systems Edmonton 780-456-1061 or 1-888-427-617887 Silvacom Edmonton 780-462-323888 Smart Technologies Calgary 403-245-033389 Softworks Group Edmonton 780-429-746290 Solution105 Consulting Edmonton 780-429-4774 or 1-866-466-477491 Spatial Tree Edmonton hello@spatialtree.com92 Spieker Point Edmonton 780-439-0077 or 1-877-439-0077 x 11193 Sporting Charts Edmonton 780-761-262694 Springbok Systems Edmonton 780-701-1940 or 1-955-432-627795 Storage Clarity Calgary 403-764-132096 Storm Telematics Edmonton 1-877-309-835497 TCE Labs Calgary 403-604-567898 Technology North Corp Edmonton 780-953-686399 Tecterra Calgary 403-532-4275100 Tesera Systems Cochrane 1-866-698-8789101 Tiko Digital Edmonton 780-705-8456102 Top Draw Edmonton 780- 429-9993103 Touch Metric Edmonton 1-800-494-0827104 Troy Infometrics Edmonton 780-758-7171105 TRTech formerly TR Labs Alberta 780-441-3800106 Vanko Analytics Edmonton 1-800-307-8554107 V Strategies Inc. Calgary 403-229-2511 or 1-888-966-6984108 Vidya Knowledge Systems Edmonton 403-397-8785109 VISIO Media Edmonton 1-866-789-3776110 Visionstate Edmonton 780-425-9460111 VisuMap Technologies Calgary 403-607-8240112 ViTel Consulting Edmonton 780-452-5205113 Vizworx Calgary 403-238-9335114 Yardstick Technologies Edmonton 780-701-1838115 Yellow Pencil Edmonton 780-423-5917116 ZEDI Calgary 403-444-1100 or 1-866-732-696719