Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Rapid Data Integration: Tools & Methodology

767 views

Published on

Published in: Technology
  • Want to preview some of our plans? You can get 50 Woodworking Plans and a 440-Page "The Art of Woodworking" Book... Absolutely FREE ♥♥♥ http://ishbv.com/tedsplans/pdf
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • There are over 16,000 woodworking plans that comes with step-by-step instructions and detailed photos, Click here to take a look ■■■ http://tinyurl.com/y3hc8gpw
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Get access to 16,000 woodworking plans, Download 50 FREE Plans... ♣♣♣ http://tinyurl.com/y3hc8gpw
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Rapid Data Integration: Tools & Methodology

  1. 1. 1 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Rapid Data IntegrationTools and Methodology
  2. 2. 2 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013AgendaWhat is Data Science?Why Data Integration mattersWhy Iterative Methodology is criticalHow do we get there?What is the payoff?
  3. 3. 3 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013What Is Data Science?Data Science is about analytics– Different from Business Intelligence– Looks forward– Statistical analysis, predictiveanalysis, trending, etc.
  4. 4. 4 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Data ScienceAnalytical tools– Slicing and dicing, notreportingRequirements– By definition, you don’t knowwhat you need up front– Traditional datamanagement tools fall short Data profiling, modeling,ETL, etc., all depend upondefined requirements
  5. 5. 5 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Why Data Integration MattersTo be successful, datascientists need good data– Key question is “why?”– Are we seeing a trend, or isthe data bad?One question will lead toanotherExperimentationNew requirements, moredata, new subject areasHow to keep up?
  6. 6. 6 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013The Importance Of Iterative MethodologyChange– Market driven change – quarterly– Business driven change – monthly– Analysis driven change – dailyTo deal with change, iterative methodologies succeed– Absorb– Implement– Deploy– Test– Repeat
  7. 7. 7 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Iterative Data IntegrationIntegration model– Map sources to analytical model– Revise physical schema as model evolves– Automation Reduce error, speed deployment and track changesUsability– Make the data available – now!
  8. 8. 8 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Business Focused ModelStart with a model– Design logically, deploy physically– Support iterations
  9. 9. 9 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013Automation Using Best PracticesMaster Data Governance and StewardshipSchema ManagementModel and Metadata ManagementHierarchy Management Workflow and SecurityData Profiling and Validation Data AuthoringControlled PublicationIdentity ManagementAuto-generated ApplicationBrowse and Search Full History and Audit TrailsAuto Match and MergeOperationsData IntegrationData ValidationSuspense and Exception HandlingData Sourcing and Field MappingDelta DetectionSurrogate Key ManagementCode Management and LookupCurrency and UoMGraphical ModelingModel FederationMulti-GranularitySub-typing and InheritanceComposite EntitiesRagged Hierarchies Change ManagementKPI ManagementBusiness Metadata Classification HierarchiesStar and Snowflake SchemaPhysical Schema ManagementSlowly Changing DimensionsData Mart and AggregatesData Load and Index ManagementRollup Path AwarenessIncremental Summary GenerationProcess AutomationTask Execution and MonitoringDeployment and MigrationArchivingRestore for Model and DataUndo LoadsAudit and LoggingPresentationMetadata Management for BOBJNative XLS Pivot Table GenerationNative QlikView GenerationMetadata Management for MSASMetadata Management for COGNMDM Consumer InterfaceReport-Time Formula ManagementAutomated
  10. 10. 10 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013What Is The Payoff?Better quality data– Better analysis– Better decisions– Better business resultsMore timely data– Reduce guesswork andestimations– Act with confidenceMore efficient– Conserve your resources– Keep pace with change
  11. 11. 11 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013SummaryData Science offers new insights into businessData Science demands current accurate dataRequirements difficult to pre-determineFlexible, agile data platform is a mustKalido Information Engine supports…– Business focused modeling– Rapid integration– Process automation– Accurate data – fast!
  12. 12. 12 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013What Are Your Next Steps?Attend the next how-to webinar on how to use theBusiness Information Model for rapid data integrationSchedule a 1:1 Discovery Session with one of ourexperts and get hands on time with the toolSchedule a more in depth session on rapid dataintegration for you and your colleagues
  13. 13. 13 May 28, 2013© Kalido I Kalido Confidential I May 28, 2013PollingI have a clear understanding of how data integrationaffects my ability to improve insightsI would like to attend a “how-to” webinar on the BusinessInformation Modeler and how it is usedI would like to schedule a Discovery Session with a KalidoExpert and get some experience with the toolI am unsure as to how rapid data integration affects myability to improve insights
  14. 14. 14 May 28, 2013© Kalido I Kalido Confidential I May 28, 201314Thank you

×