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Making Sense of Small Data and Big Data
 

Making Sense of Small Data and Big Data

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Many companies have been analyzing Big Data they collected, but often Small Data are not being used as they should. ...

Many companies have been analyzing Big Data they collected, but often Small Data are not being used as they should.

View this presentation to understand how Small Data in also important and can create an impact to your business. The presentation also explains how NetDimensions Analytics uses the Small Data approach, so users can easily access data, use the ad-hoc reporting/analysis tools and understood their data.

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Making Sense of Small Data and Big Data Making Sense of Small Data and Big Data Presentation Transcript

  • Making Sense of Small Dataand Big DataAdrian Weaver
  • Data – There’s lots of it ! The worlds per-person capacity to store information has roughly doubled every 40 months since the 1980s
  • Data – There’s lots of it ! The worlds per-person capacity to store information has roughly doubled every 40 months since the 1980s There is more and more “Big Data”
  • What is “Big Data” “Big data” refers to sets of data which are so large and complex that it becomes difficult to process them using standard database management tools.
  • What is “Big Data” “Big data” refers to sets of data which are so large and complex that it becomes difficult to process them using standard database management tools. e.g. Big Data in the supermarket industry
  • Big Data in SupermarketsSupermarkets have been using Big Data for morethan a decade. Data collected and analysed includes;  Item purchased  time of purchase  place of purchase  No. of item purchased  price paid  items purchased alongside.
  • Big Data in SupermarketsSupermarkets have been using Big Data for morethan a decade. Data collected and analysed includes; With reward cards  Item purchased  M/F  time of purchase  age  place of purchase  home location,  No. of item purchased  previous purchases of item  price paid  etc., etc.,  items purchased alongside.
  • So what ?Does this mean that everyone should look at Big Datanow ? Not necessarilyNot all organisations generate a great enough volumeof useful data to warrant a Big Data approach at themoment.But everyone should be looking at “Small Data”…..
  • What is “Small Data” “Small data” is the data you already collect, accessed using standard reporting and analysis tools. “Small data” requires no great shift in technical expertise or any understanding of complex statistics.
  • Using “Small Data”
  • Using “Small Data” The majority of decisions can be improved by considering quite simple data. Take the low-hanging fruit first – “Small Data”
  • Using “Small Data” The majority of decisions can be improved by considering quite simple data. Take the low-hanging fruit first – “Small Data” Only when Small Data is understood can an organization see whether there is sufficient value to invest in a move to Big Data
  • Using “Small Data” The majority of decisions can be improved by considering quite simple data. Take the low-hanging fruit first – “Small Data” Only when Small Data is understood can an organization see whether there is sufficient value to invest in a move to Big Data Without a foundation in Small Data, any organisation’s move to Big Data will likely fail.
  • Data is the keyEveryone can do their jobs better if they makedecisions and take actions based on actual informationrather than….  “intuition”  “best guestimates”  “how we have always done it” Data driven decisions are becoming the norm
  • Data is the keyThere are three Stages of Data usage 1. Receiving Data - Operational/reactive reporting 2. Seeking out Data – Proactive reporting 3. Analyzing Data - strategic/predictive analytics.Most organizations are still at Stage 1.Taking a “Small Data” approach will moveorganisations on to Stage 2…
  • The “Small Data” approachThis requires  Easy access to Data  Easy to use ad-hoc reporting/analysis tools  Easily understood data – documentation/help, etcProviding these components inevitably movesorganisations toStage 2. Seeking Out Data – Proactive reportingAnd then …..
  • The “Small Data” approachOver time organisations will develop a deeperunderstanding of their data and will seek out;  New uses for the Data  New Data combinations  New interpretations of the DataAs this gets more sophisticated it drives the move toStage 3. Analyzing Data - strategic/predictive analytics.
  • For a “Small Data” approach  Easy access to Data  Easy to use ad-hoc reporting/analysis tools  Easily understood data – documentation/help, etc.And for Analyzing Data - strategic/predictive analytics.
  • NetDimensions AnalyticsFor the “Small Data” approach• A SaaS solution using real-time replication of production data accessed through NTS via Single Sign On.• Data definitions structured around “Domains” for initial ease of use (e.g. Training History, Certificates, Appraisals)• An intuitive, report writer based on Jaspersoft 5.0 technology for creating, scheduling and distributing reports, with example reports to encourage ad-hoc reporting.
  • Basic Reporting Architecture AdHoc Reports View Domain DashboardDatabase
  • NetDimensions Analytics For strategic/predictive analytics. Additional Analytics packages to highlight and exploit the value of the information held within NetDimensions Talent Suite. - A sample set of advanced Analytics reports and dashboards will be provided in the initial release package, with additional packages during 2013.
  • Packaged Reports
  • Packaged Reports – Drill Down
  • Packaged Reports – Parameter Driven
  • Demonstration
  • Q&A