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008			141027t20162016enk e 001 0 eng d
040			_aYDXCP _beng _erda _cYDXCP _dOCLCO _dCHVBK _dOCLCO _dOCLCQ _dIGA _dOCLCO _dU3G
020			_a9781119027034 _q(paperback)
020			_a1119027039 _q(paperback)
035			_a(OCoLC)946545337
050		4	_aHD30.28 _b.M37 2016
082	0	4	_a658.4012 _223
100	1		_aMarr, Bernard, _eauthor.
245	1	0	_aBig data for small business for dummies / _cby Bernard Marr.
264		1	_aChichester, West Sussex, United Kingdom : _bWiley, _c2016.
264		4	_c©2016
300			_axi, 242 pages ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_a--For dummies
500			_aIncludes index.
520			_aCapitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. * Shows you how to use big data to make sense of user activity on social networks and customer transactions * Demonstrates how to capture, store, search, share, analyse and visualise analytics * Helps you turn your data into actionable insights * Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.
505	0	0	_aNote continued: _gch. 16 _tTen Key Big Data Collection Tools -- _tSmartphone GPS Sensor -- _tSmartphone Accelerometer Sensor -- _tTelematics System -- _tWi-Fi Signals -- _tLinkedIn -- _tFacebook -- _tTwitter -- _tMachine Sensors -- _tTransaction Data -- _tFinance Data.
505	0	0	_aMachine generated contents note: _tAbout This Book -- _tFoolish Assumptions -- _tIcons Used in This Book -- _tBeyond the Book -- _tWhere to Go from Here -- _gch. 1 _tIntroducing Big Data for Small Businesses -- _tWhy Big Data Matters to Every Business, Big and Small -- _tEntering a world filled with data -- _tUnderstanding the infinite ways to use big data -- _tUsing big data in small businesses -- _tUnderstanding Big Data in More Detail -- _tBreaking big data down into four Vs -- _tWhy big data is so big right now -- _tTurning data into big data -- _tData, Data Everywhere -- _tDiscovering structured, unstructured, internal and external data -- _tGetting acquainted with new types of data -- _tMaking Key Big Data Decisions -- _tUnderstanding the value of insights -- _tBuilding big data skills and competencies -- _tGetting the infrastructure in place -- _tMaking Big Data Work for You -- _tStarting with a plan -- _tUsing big data to change your decision making -- _tTransforming your business operations -- _gch. 2 _tDigging into the Essence of Big Data -- _tBreaking Big Data into Four Vs -- _tGrowing volumes of data -- _tIncreasing velocity of data -- _tExploding variety of data -- _tCoping with the veracity of data -- _tIntroducing a fifth V -- Value -- _tUnderstanding Why Big Data is Such Big News -- _tPromising predictability -- _tMaking more fact-based decisions -- _tChallenging causality -- _tWhy Now? A Cloud Full of Data -- _tHarnessing more storage than ever before -- _tFueling big data with faster networks -- _tTaking advantage of new and better analytical capability -- _tWhat Next for Big Data? -- _tBracing for the big data backlash -- _tEncouraging transparency and ethics -- _tMaking sure you add value -- _gch. 3 _tIdentifying Big Data Uses in Small Businesses -- _tUnderstanding Your Customers and Markets -- _tGetting a 360-degree view of your customers -- _tUnderstanding (and predicting) trends in your industry -- _tReviewing the competition -- _tImproving Your Operations -- _tGaining internal efficiencies -- _tChallenging your business model -- _tOptimising your supply chain -- _tTackling Your Key Business Enablers -- _tRecruiting and managing talent -- _tDealing with IT and security -- _tTransforming research and development -- _tPredicting Performance -- _tUnlocking connections in data sets -- _tUnleashing weather data -- _tUsing big data as your test bed -- _gch. 4 _tUnpacking the Many Types of Data -- _tDeploying Order: Structured Data -- _tDigging into the pros and cons of structured data -- _tExamples of structured data -- _tCoping With Messy Data: Unstructured or Semi-Structured Data -- _tUnderstanding the pros and cons of unstructured or semi-structured data -- _tExamples of unstructured or semi-structured data -- _tDiscovering the Data You Already Have (Internal Data) -- _tWeighing up the pros and cons of internal data -- _tExamples of internal data -- _tAccessing the Data That Is Out There (External Data) -- _tDelving into the pros and cons of external data -- _tExamples of external data -- _tWhat Type of Data is Best for Me? -- _gch. 5 _tDiscovering New Forms of Data -- _tTracking Activity Data -- _tPros and cons of activity data -- _tUsing activity data -- _tGetting your hands on activity data -- _tEavesdropping on Conversations -- _tPros and cons of conversation data -- _tUsing conversation data -- _tGetting your hands on conversation data -- _tPicturing Images and Photos -- _tPros and cons of photo and video image data -- _tUsing photo and video image data -- _tGetting your hands on photo and video image data -- _tSensing Your Way to New Data -- _tPros and cons of sensor data -- _tUsing sensor data -- _tGetting your hands on sensor data -- _tDiscovering the Internet of Things -- _gch. 6 _tUnderstanding the Technology Changes that Underpin Big Data -- _tThe Perfect Storm: Developments that Make Big Data Possible -- _tIntroducing the cloud -- _tTransforming data storage -- _tDiving into data lakes -- _tRevolutionising analytic technology -- _tBreaking Down the Analytic Possibilities -- _tText analytics -- _tSpeech analytics -- _tImage analytics -- _tVideo analytics -- _tData mining -- _tCombined analytics -- _gch. 7 _tFocusing on the Value of Insights -- _tMoving from Data to Insights to Knowledge -- _tTurning data into insights -- _tTranslating insights into actionable knowledge -- _tFeeding humans and machines -- _tGetting Insights to the People Who Need Them -- _tGrabbing attention -- _tMaking the insights easy to access and digest -- _tGetting the Insights to the Machines that Need Them -- _tUnderstanding machine learning -- _tConnecting data with machines -- _tConnecting data with processes -- _gch. 8 _tDeveloping and Accessing Big Data Competencies -- _tBig Data and the Skills Shortage Challenge -- _tSix Key Big Data Skills Any Business Needs -- _tAnalysing data -- _tBeing creative -- _tApplying mathematics and statistics -- _tUnderstanding computer science -- _tGrasping the business side of things -- _tCommunicating insights -- _tUnderstanding Two Very Different Types of Data Scientist -- _tBuilding Big Data Skills In-House -- _tDeveloping the people you already have -- _tRecruiting new talent -- _tThinking outside the box -- _tSourcing External Skills -- _tTapping into service providers -- _tPartnering to succeed -- _tCrowdsourcing talent -- _gch. 9 _tBuilding a Big Data Infrastructure -- _tMaking Big Data Infrastructure Decisions -- _tUnderstanding the key infrastructure elements -- _tEvaluating your existing infrastructure -- _tBig Data on a Budget: Introducing Big Data as a Service -- _tIntroducing the Four Layers of Big Data -- _tData source layer -- _tData storage layer -- _tData processing/analysis layer -- _tData output layer -- _tSourcing Your Data -- _tCollecting your own -- _tAccessing external sources -- _tStoring Big Data -- _tUnderstanding Hadoop and MapReduce -- _tUnderstanding Spark -- _tOther considerations: Data ownership and security -- _tTurning Data into Insights -- _tProcessing and analysing data -- _tUnderstanding Python -- _tPopular data analytics platforms -- _tPresenting the Insights -- _tGetting to grips with the main data output options -- _tLooking at the visualisation tools available -- _gch. 10 _tCreating a Big Data Strategy -- _tDeciding How to Use Big Data -- _tUsing big data to improve your business decisions -- _tUsing big data to transform your business operations -- _tSmall Can be Beautiful: How Not to Collect Everything -- _tThe Key Steps in Creating Your Big Data Strategy -- _tThe six components of your big data strategy -- _tMaking a solid big data business case -- _gch. 11 _tApplying Data in Your Business: Decision Making -- _tStarting with Strategy -- _tIntroducing the SMART strategy board -- _tCompleting the SMART strategy board -- _tHoning in on the Business Area -- _tIdentifying Your Unanswered Questions -- _tUnderstanding the power of questions -- _tThe do's and don'ts of SMART questions -- _tFinding the Data to Answer Your Questions -- _tForgetting what you have or what's out there -- _tThinking big and small -- _tIdentifying What You Already Have or Have Access To -- _tDoes it exist in some form somewhere? -- _tInternal doesn't always mean cheap -- _tIf you need external data -- _tWorking Out if the Costs and Effort Are Justified -- _tCollecting the Data -- _tDeciding who will collect it -- _tDeciding when it will be collected -- _tDeciding how it will be collected -- _tAnalysing the Data -- _tIn-house analysis versus external analysis -- _tCombining data to improve and validate insights -- _tPresenting and Distributing the Insights -- _tCommunicating and visualising insights -- _tKeeping in mind the target audience -- _tDashboards and infographics -- _tIncorporating the Learning into the Business -- _tMaking the right decisions -- _tFinding questions for the future -- _gch. 12 _tApplying Data in Your Business: Operations -- _tUnderstanding the Role of Data -- _tUsing data to improve operational processes -- _tReshaping your business model -- _tSourcing the Required Data -- _tFinding external data -- _tUsing internal data -- _tWeighing up Costs and Benefits -- _tMaking the business case -- _tSourcing alternative data sets -- _tSecuring Ownership -- _tBig data as a business asset -- _tEnsuring access rights and ownership -- _tManaging the Data -- _tFinding the right data storage for you -- _tEnsuring data security -- _tAvoiding data breaches -- _tEstablishing Infrastructure and Technology -- _tAssessing infrastructure needs -- _tCreating the infrastructure -- _tTesting and Piloting Operations -- _tTransforming Your Operations -- _tRunning it -- _tLooking into the future -- _gch.
505	0	0	_t13 _tCreating a Big Data Culture in Your Business -- _tMoving to Fact-Based Decision Making -- _tFacilitating company-wide buy-in -- _tEmphasising the positive impact data can have -- _tAllowing Data to Influence Strategy -- _tManaging talent -- _tBoosting employee satisfaction -- _tIncreasing operational efficiency -- _tOptimising business processes -- _tIdentifying New or Additional Business Models -- _gch. 14 _tTen Biggest Big Data Mistakes to Avoid -- _tCollecting Data on Everything -- _tCollecting Only the Fashionable Data -- _tGoing Straight to External Unstructured Big Data -- _tGetting Overwhelmed by the Volume of Existing Data -- _tIgnoring Small Data -- _tThrowing Money at the Problem -- _tNot Matching Big Data to Your Strategic Questions -- _tNot Involving the Right People in Your Big Data Strategy -- _tCollecting the Data and Not Analysing It -- _tAnalysing the Data but Not Reporting the Results in a User-friendly Way -- _gch. 15 _tTen Free Big Data Sources -- _tData.gov (US Government Data) -- _tUS Census Bureau -- _tEuropean Union Open Data Portal -- _tData.gov.uk -- _tHealthData.gov -- _tGoogle Trends -- _tFacebook Graph -- _tWeather Data Sources -- _tFederal Reserve Economic Data -- _tGoogle Maps
650		0	_aBusiness planning _xData processing.
650		0	_aBig data.
650		0	_aData mining.
650		0	_aOrganizational effectiveness _xData processing.
650		0	_aDecision making _xData processing.
650		0	_aInformation technology _xManagement.
650		0	_aManagement _xStatistical methods.
650		0	_aDecision making _xStatistical methods.
650		7	_aMassendaten _2gnd
650		7	_aKlein- und Mittelbetrieb _2gnd
650		7	_aEntscheidungsfindung _2gnd
650		7	_aBUSINESS & ECONOMICS / Entrepreneurship. _2bisacsh
830		0	_a--For dummies.
938			_aYBP Library Services _bYANK _n12105545
029	1		_aCHNEW _b000869911
029	1		_aCHVBK _b366490079
942			_cBOOK
994			_aZ0 _bSUPMU
948			_hNO HOLDINGS IN SUPMU - 18 OTHER HOLDINGS
596			_a1 2
999			_c1018 _d1018