Business Analytics and Data Science Services

Transcription

1 Business Analytics and Data Science Services Slutin Brief OVERVIEW Organizatins that are deplying r have already deplyed data warehusing and/r big data slutins such as Hadp face a bigger challenge they need t demnstrate the return n investment (ROI) as quickly as pssible. Having set up the required infrastructure t land and handle all that valuable data is a significant effrt, but unfrtunately when it cmes t generating immediate value, there is n bvius EASY buttn fr big data. The challenge is really in establishing a prcess t turn yur big data int big insights and big business value. Cmpanies need peple wh can put their hands int the data, manipulate it and find the valuable insights. This is the realm f data science. Big data and advanced analytics are creating prfund new pprtunities fr businesses. Hwever researchers fund that nly 4% f cmpanies are able t cmbine the right peple, tls, data and rganizatinal fcus t take advantage f this trend. T realize the value f big data, rganizatins need strategic and nt merely technlgical slutins. OnX s experience and analytical expertise helps ensure that businesses build the right capabilities t mine data fr insights that can enable better decisins and create value. BACKGROUND Businesses in all industries are increasing the use f nline and mbile digital services t engage with custmers, sell and prmte prducts, and supprt partners amng ther activities. The cmbinatin f multiple data surces results nt nly in increased data vlume, but als increased data variety and velcity that businesses must learn t handle and utilize. In ther wrds, deal with big data. The typical enterprise will need t analyze, crrelate, and make business decisins based n this big data. This is where emplying prven data science prcesses becmes essential in rder t generate returns frm the infrastructure investments. Success in an increasingly cmpetitive marketplace depends upn wh has the best data strategy. Everyne has heard stries abut tech cmpanies that were purpse-built as data cmpanies: Amazn, Ggle, Facebk. All three have ne thing in cmmn: they are all D3 cmpanies, i.e., Data Driven Decisin (D3) making enterprises. Many f the s-called traditinal cmpanies tday are embracing D3. > The CEO f a glbal autmtive cmpany believes that they are pised t becme a transprtatin analytics cmpany ging frward. > Jhn Deere is intentinally seeking t braden and redefine its industry t becme a farming analytics cmpany in additin t its traditinal prduct line. They beginning t cnnect nt nly farm machinery but irrigatin systems and sil and nutrient surces with infrmatin n weather, crp prices, and cmmdity futures t ptimize verall farm perfrmance. Others may find themselves threatened by this develpment, which creates new cmpetitrs, new bases fr cmpetitin, and the need fr entirely new and brader capabilities. Cmpanies that fail t adapt may find their traditinal prducts becming cmmditized r may themselves be relegated t the rle f OEM supplier, with system integratrs in cntrl. Clearly the ability t apply big data prcessing capabilities t disparate data and develp predictive and prescriptive analytics, i.e. data science, is becming vital t business tday. Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 1 f 6

2 USE CASES AND BENEFITS Slutin Brief The success f emerging business strategies depends n hw well an rganizatin can manage and implement state-f-the-art analytics, successfully autmate, prvisin supprting infrastructure, ptimize third-party services, respnd t rapid changes in usage, and extract value frm increasingly diverse data surces. Data science can help yur rganizatin t slve a variety f business prblems which impact prfitability these can be either revenue fcused r expenditure fcused r bth. Here are a few examples: > Revenue fcused Custmer segmentatin and prfiling Frecast sales trends Understand custmer purchase habits Develping rapid and data driven respnses t RFQs > Expenditure fcused Custmer churn identificatin Asset tracking and supply chain ptimizatin Crrelating raw material csts t prduct POS data Fraud detectin A Data Science Slutin brings a wide range f benefits depending n what data is analyzed. Frm an ROI pint f view, the benefits will help reduce business csts r help increase revenue r bth. Such benefits may include: > Identifying (and ranking) factrs that drive up csts > Identifying (and scring) ptential revenue generatin pprtunities > Ability t anticipate custmer needs and develp prducts r services t address them > Identifying key drivers f successes and rt causes f failures Enterprise executive teams will need t invest in data science slutins while at the same time preparing t deply big data infrastructure. The end game is t generate a psitive ROI frm big data investment and the sner executives and IT staff begin t think data science, the faster this return will present itself. ONX APPROACH Yu knw yur business. We knw data. OnX ffers a full range f assistance frm strategy, architecture & design, and implementatin services t ensure yu achieve successful business utcmes and a psitive return n yur investment in data warehusing, big data and analytics. OnX can assist yu after yur business analytics prject is deplyed with n-demand services t ensure yur analytics envirnment and mdels keep running. Data Strategy Yu understand that there s pprtunity in yur business fr prduct develpment, efficiency, r grwth but aren t sure what that means in terms f data. We ll wrk with bth yur business and technical stakehlders t create a data strategy that ties yur technlgy effrts directly t yur business gals. Architecture & Design Yu thrughly understand yur technical gals, and want the best path t achieving them we ll wrk with yu t plan and create a technical architecture that meets yur current needs while prviding a platfrm fr future grwth. The end result f these prcesses is an architectural plan designed t deliver value early. Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 2 f 6

3 Slutin Brief Agile Build Yu re ready t build ut an architecture, based n yur radmap, with ur experienced teams f engineers and data scientists. Our agile methds ensure that we are accuntable and respnsive, wrking tgether with yu t achieve yur gals and minimize risk. Analytic Prcess Transfrmatin Yu re agile analytic envirnment is being built ut, yu understand that success depends n making yur analytic and mdel develpment prcesses agile. Tday, many business analytic teams are challenged with the end t end mdeling life cycle including wrk intake and priritizatin, build, validatin, deplyment, and retirement management. We can help yu t build a hlistic understanding f yur analytic prcesses, prvide insights fr imprvement as well as help yu implement thse changes. Additinally, we can build a mdel catalg which will prvide yu an understanding f exactly where each mdel is in its life cycle, hw ld the mdel is, wh develped the mdel, and wh is using the mdel fr what applicatin. DATA STRATEGY Data Strategy is a prcess that starts with yur strategic business bjectives and views them tgether with an analysis f yur wrkflws, data requirements, and technical capabilities. The result is a custm develpment radmap fr yur rganizatin, fcused n achieving near-term business benefits and creating a platfrm fr future innvatin. Key Activities: > Identify business gals and current capabilities > Determine future data and capability requirements Ideatin Facilitative sessins t help uncver business pprtunities fr applying business analytics t drive revenue, new prducts / services, and cst savings Business Case Develpment > Deliver a priritized effrt radmap t achieve value early > Align business and technlgy stakehlders arund technlgy investment > Data Strategy Reprt Strategic recmmendatins based n yur business gals, rganizatinal structure, and technical capabilities > Priritized Radmap Starting frm yur current capabilities, the radmap lists the prjects, resurces and wrklads that will drive results. Priritizatin is the result f ratinalizing the tp-dwn bjectives against bttm-up data cllectin, analysis and scientific prjects. Radmap elements are typically a mix f data science, data engineering and rganizatinal deliverables. > Identify a training plan that aligns with resurces needs and cst cnstraints > Results Presentatin We ll lead yur executive and technical stakehlders thrugh the results, with the benefit f aligning everyne with the data strategy, radmap and timeline. At the end f the prject, many clients cntinue wrking with us t execute against the radmap. ARCHITECTURE AND DESIGN Data architecture is a business-critical activity, because f the mdern imprtance f data t remaining cmpetitive. Our extensive experience with tls and implementatin allws us t create technical architecture plans that deliver bth near-term value and a platfrm fr cntinuing develpment. We wrk clsely with yur business and technical teams t plan a platfrm fr yur data, interfaces, and applicatins, while expanding yur capabilities t supprt new prducts, services, and key business bjectives. Plus, we re vendr-agnstic, meaning we always make the right chices fr yur needs. Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 3 f 6

4 Slutin Brief Key Activities: > Prf f Value fast paced delivery and testing f ideas t help prve their business value prir t making large investments > Identify required and future technical capabilities Business analytics assessment perfrm assessment f tling, skills, rganizatin, prcess and data Technlgy assessment - evaluating existing and planned systems envirnment > Identify fit with architecture ensuring technlgy and business strategies are cmplimentary > Deliver a plan fr a technical architecture > Makes apprpriate tl and technlgy selectins > Dcumented prf f value and cmparisn f analytic utcmes t expectatins > A technical plan that makes technlgy and implementatin recmmendatins, including: Acquisitin and ingestin f multiple types f data A reliable and scalable strage and management platfrm Supprt fr analytical tls used by business prfessinals Interfaces t current applicatins and data Cnfrmance with IT gvernance plicies and practices Architecture and Design investments pay fr themselves, prviding reliability, scalability, and agility. At the end f the Architecture and Design prject, many clients cntinue wrking with us t implement the resulting plan thrugh ur Agile Build services. AGILE BUILD Every cmpany is unique, and creating a genuine market advantage requires bth skill and flexibility. We deply hlistic teams f engineers and data scientists, highly skilled practitiners with experience at the frefrnt f data technlgy. Wrk with us n yur data prjects, and gain access t wrld-class talent that wrks clsely with yur business. Our agile methds ensure we re accuntable, respnsive, and fcused n results. The best way t drive data prjects is t deply skilled, multi-talented teams. Yu can t have gd data science withut gd data, and yu can t get gd data withut gd engineering. Our team brings knwledge f R, Pythn, Hadp and many ther tls. Data Science is an iterative prcess and the supprting analytic envirnment shuld be built in well-defined steps, each delivering incremental business value. Key Activities: > We bring engineering and data science talent t build yur data prjects. > Crss-functinal teams are fcused and effective. > The agile apprach delivers results rapidly and respnsively. > Analytic envirnment build > Analytic applicatin build Mdel burn-in and ptimizatin Mdel perfrmance tuning > Operatinalize analytic applicatin fr prductin executin and maintenance > Cmplete build and peratinal runbk dcuments > User dcumentatin > Knwledge transfer n activities perfrmed Analytic envirnment architecture and installatin Analytic applicatin and applicatin installatin Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 4 f 6

5 Services: Administratin and peratins f analytic envirnment and applicatin Dcumentatin review Slutin Brief OnX Services can assist yu after yur Business Analytics effrt is cmplete with administratin, perfrmance tuning, integratin, and much mre. We can: > Prvide n-premise staffing r managed services t help yu run the analytics envirnment > Prvide administratin, develper and data science training t help yu grw yur internal skill sets Wrk Examples: > Ingestin f Internet f Everything (IE) data and scial data > Data prfiling t help custmers understand their data > Data quality services t help custmer imprve the value f their data > Data Preparatin t remve data integratin cmplexity frm the data science team s wrkflw > Data dictinary / glssary t help custmer s dcument and better leverage their data assets In parallel t agile build, many f ur custmers als take the pprtunity t imprve their analytic business prcesses and becme mre agile thrugh ur Analytic Prcess Transfrmatin services. ANALYTIC PROCESS TRANSFORMATION Yur analytical assets which are missin critical t the business. Many cmpanies ften have mre than 100 predictive mdel assets develped ver time and face the imprtant issue f hw t effectively build, validate, deply, manage, stre, share r archive these assets. The next breakthrugh in data analysis may nt be in individual algrithms, but in the ability t rapidly build, cmbine, deply, and maintain existing algrithms. Key challenges being tackled by analytic teams include: > Priritizing the endless stream f ideas s maximize investments and resurce utilizatin > Building mdels using a Fail Fast strategy > The ability t versin-cntrl a mdel ver time > Hw t understand system, applicatin and data dependencies n a mdel > Hw t manage decay and determine when a mdel needs t be refreshed r replaced > When and hw t retire mdels and archive them > Better management f the scre repsitries t ensure quality > Prpagating learning acrss the analytics team > Ensuring management understands the value f advanced analytics > Understanding where yur mdels are in their lifecycle > Current state dcumented > Prcess issues and change recmmendatins > Mdel Catalg RELATED SERVICES > OnX HDP Administratin Training > Onx HDP Develper: Pig & Hive Training > OnX HDP Data Science Training > OnX Hadp Appliance > OnX Hadp Develpment > OnX Big Data Ideatin & Use Case Develpment > OnX Hadp Quick Start > OnX Hadp Administratin Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 5 f 6

6 Slutin Brief PROJECT MANAGEMENT WHY ONX? OnX includes prject management leadership t manage the verall prject team, create and maintain the prject plan, cmmunicate status n a recurring basis and facilitate escalatins as needed. This helps t minimize risks and ensure timely and successful service delivery. The OnX prject engagement activity cnsists f a fur phase prject lifecycle specifically tailred t deliver cmprehensive, quality capabilities. OnX maintains a knwledgebase f lessns learned cmprised f feedback frm all service deliveries t help prevent unfreseen delays and ther impact n the prject. We als leverage wrld-class knwledge centers t ensure ur past successes translate int a cnsistent prcess cntributing t yur prject s success. > OnX has experience wrking with large frtune 500 Service Prvider and Financial Service cmpanies deplying their nde Hadp clusters > OnX has a seasned and knwledgeable engineering team that can help yu successfully deply yur Hadp cluster > OnX can prvide Staff Augmentatin and Prject Delivery services t assist yu after yur cluster is deplyed > OnX prvides ur custmers wrld-class Industry, Architecture and Prject Management expertise in designing and integrating enterprise slutins > OnX has a prven track recrd f successfully delivering apprximately 1,100 prjects annually t ur clients OnX prject management methdlgy is applied t all ur prjects OnX has Prject Managers n staff certified in ITIL, Agile and PMP OnX can deliver prjects using the apprach which the custmer r prject warrants whether waterfall, agile, scrum > OnX applies Industry, OEM, and OnX Best Practices and lessns learned t reduce prject risk and imprve utcmes > OnX is a leader in ITSM and ITIL best practices with numerus practitiners certified > OnX s maintains certificatins acrss a brad selectin f best-in-class technlgy which allw OnX t prvide a unbiased view pint acrss technlgy vendrs > OnX s relatinship with market and technlgy leading vendrs and their slutins allw us t maintain a high expsure t a wide varied f technlgy innvatin acrss infrmatin, technlgy, prcess, rganizatin, and enablement beynd ur cmpetitrs Cpyright 2015 OnX Enterprise Slutins Ltd. All trademarks used herein are the prperty f their respective wners. Page 6 f 6