Post on 21-Oct-2014
description
Using Financial Analytics for Performance Management
Richard Gristak Sr. Practice Dir. Business Analytics Ciber Inc.
November 21, 2013
Presentation to the Pittsburgh Association for Financial Professionals
RoadmapCiber IntroTrends TodayThe Data Dilemma What are the Business Goals? A Framework for a BI Support CenterAnalytics and Predictive AnalyticsMetadata and Contextual AnalysisGovernance Issues Some vendor product stacks
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About Ciber
Founded in 1974More than 7,000 employeesNYSE: CBR - Headquartered in Denver72 Offices in 19 countriesLocal Accountability with Global Delivery:
Domestic & Off-ShoreGrowth & Profitability for 35 yearsFocus on Quality: ISO, CPMM, SAS 70Best-in-Class Client Satisfaction
A $1.1 billion Global IT services company that builds, integrates and supports applications and infrastructures for business and government in 72 offices and 19 countries.
As a result of an independent customer satisfaction survey, asking more than 150 international CIBER customers, 96% respond that they will choose CIBER again.
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Core Capabilities & ServicesEnterprise Architecture• Enterprise Architecture Program Design and
Implementation• Business Architecture Development• SOA Strategy, Roadmap, Governance• Data /Information Governance• System & Technology Roadmap• Long Term Technology Planning
Strategy• Development of IT Strategic Plans• Design and Implementation of IT
Governance Frameworks• Design, Evaluation and
Implementation of IT operating Models
• Design and implementation of Portfolio Management (Project & Application)
• Development of IT Business Cases• Cloud Adoption Strategies
Quality Assurance & Testing Test Maturity Improvements Managed Testing Services IV&V Test Centers of Excellence Automation and Automated
Regression Technical Support of Testing Independent Test Organization
Enterprise Mobility Mobile Roadmap & Strategy Mobile App Development (HTML5,iOS,Android,
Windows Mobile Testing & Security
Application Development Design, build, test & implement
custom applications Application modernization &
enhancement Collaboration Mobility & wireless Portal development Document Management and
Enhanced ECM Web 2.0 and Social Media Records/Contract Management Platform Integration and
Consolidation
BI/DW Data Warehousing Data Architecture Business Intelligence Systems SAP Business Objects Master Data Management
(MDM) Data Governance Common Data Definitions Single View of the Customer
Data Metadata Architecture`
Managed Services Application Management ERP Help Desk Hosting
Project Management & PMO Project Management Process Definition Complete PMO solution offering
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Trends Today3
Trends Today
CFO is increasingly involved in IT Close to 50% of IT Leaders report to the CFO; 25%
report to the CMO 63% of CFOs plan upgrades to BI in the coming year 92% of CFOs DO NOT believe IT provides
transformational or differentiation capabilities Analytics today continues to overwhelmingly rely on
lagging KPI indicators rather than Predictive Analytics even as more and better tools are available for moving to predictive models
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Trends Today
CFOs indicate new applications for Financial Governance are needed Cloud and Mobile are cited as opportunities BUT
91.8% of all devices connecting to the web were PCs in 2012 – only 5.2% were smartphones, and 2.5% were tablets; Predictions for 2014 are over 80% of devices connecting will still be PCs Big Data is a much talked about subject BUT 90% of
Big Data projects are failures
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BI Investment Needs
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CFO 2013Initiatives9
2014 Enterprise Initiatives
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Initiatives in Finance Today11
The Data Dilemma12
The Data Dilemma
EXECS
EXTERNAL INTERNAL
DATA DILEMMA
INTEGRATE MANAGE LEVERAGE
MANAGE ~ ANALYSIS ~ PLANNING
$
ACCTGPRODUCTIONINVENTORY
MSGEXP/DBFILES
CUSTOMERSCOMPETITORSMARKET
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Making sense of it allClarity of purposeDefinition of scopeAllocation of resourcesConcrete result expectationsComparative Analytical Measures (e.g. KPIs)
Rationalization of measures into actionable items and hierarchical groups
Defining predictive analytics workspaces
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Metadata and Contextual Analysis15
Social Network Diagram
• Contextual analytics is one of the hottest areas of interest pertaining to big data today
• Smart companies know there is tremendous value in contextual analytics. But aggregating, categorizing, summarizing, exploring and contextualizing unstructured data is a big undertaking.
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Contextualization Context is the interrelated conditions in which something exists or
occurs . Helping define context is Environment, Setting, Timeline, Genre
Why is context important? Consistency needed in returned result sets
The context describes the internal or external “framework”
Internal contextual information is crucial
External contextual information is knowledge that which cannot be gotten from the text of the item itself
Time and resources are wasted in searching irrelevant and non-material information
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Business Goals18
Vision to Execution Road Map Alignment
Business Context
IT Context
Planning & Analysis
3-Year IT Vision – Business Plans
FY 1 Plan FY 2 Plan FY 3 PlanIT Strategies; Business Outcomes with Target Results; Goals and Objectives;
Risks; Business Capabilities; Key Stakeholders; Committed Investments; Financial Models
Business Outcome MilestonesIT Business Model,
IT Services Portfolio,Major
Initiatives/Programs, IT Operating Model,
Performance Target Results
Updates to FY 1 plusNew Capabilities,
IT Services, Portfolios Refresh, and Performance Targets
Updates to FY 1 plusNew Capabilities,
IT Services, Portfolios Refresh, and Performance Targets
Project portfolios sync'd to ISS releasesCross-stack road mapsReference architectures & solution patternsStandards & principlesCurrency schedules & road mapsBudgeting/investment/resource profilesAppDev, security and integration guidelines
ISS FY PlanningEnterprise ArchitectureIT ServicesApplicationsCommon ServicesProcessesData / InformationInfrastructure Shared Services (SIS)
SIS CatalogApp ServicesComputeStorageContent DeliverySupport ServicesNetworkingDeploymentManagement & MonitoringEIM & Enterprise EndpointsSecurity Management
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Align Change/Development/Investmentto Business Outcome Milestones
Business Outcome Milestone (final or interim)
Functional Milestone within a level of analysis (depends on approach)
Business Solutions Approach
People
Process
Technology
Information
Governance
Money
Management
Business Unit Approach
BU 1
BU 2
BU n
Region 1
Region 2
Corporate Shared Services
Technical Shared Services
Architecture Approach
Application
Infrastructure
Cloud Services
Information
IT Services
Business Processes
Supply Chain Partners
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In Order to Realize New Opportunities, You Need to Think Beyond Traditional Sources of Data
Transactional and Application Data
Machine Data Social Data
Volume Structured Throughput
Velocity Semi-structured Ingestion
Variety Highly unstructured Veracity
Enterprise Content
Variety Highly unstructured Volume
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Framework for A BI Support Center22
An Analytics Framework
Engine Components
Accelerators
User Interfaces
Visualization Admin Console
Text Analytics
Application Accelerators
Integration
Databases
Information Governance
Content Management
Apache Hadoop
IndexingMap Reduce +
Workload Mgmt Security
Dev Tools
• Performance & workload optimizations
• Unique text analytic engines
• Spreadsheet-style visualization for data discovery & exploration
• Built-in IDE & admin consoles
• Enterprise-class security
• High-speed connectors to integration with other systems/sources
• High availability
• Machine data and social dataanalytics accelerators
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Data Exploration
Discover the Data Provide discovery and navigation Connect securely to applications that manage
data—regardless of location Leave big data in place
Analyze Structured andUnstructured Data Visualize relationships and
reveal themes Identify the value of the data Recognize users of the data Establish context of data usage
Collaborate on the Data Augment the data with user knowledge Create personalized views of the data Identify ongoing user and system integration
points
FileSystems
RelationalData
ContentManagement
CRM
SupplyChain
ERP
RSS Feeds
ExternalSources
Cloud
CustomSources
Data Explorer Platform
Big Data PlatformSystems
ManagementApplication
DevelopmentVisualization & Discovery
Accelerators
Information Integration & Governance
HadoopSystem
Stream Computing
Data Warehouse
Application/Users
Commenting
Rating
SharedFolders
Tagging
Social Tools
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Analytics and Predictive Analytics25
Historical Analytics
Presentation of historical data Dashboards, Drill-downs, interactive reports, static reports
New methods and devices
Identifying the metrics that affect key objectives
Synchronizing those metrics through an organization
Creating user tools to show effects of good (and bad) choices
Tying the financial, operational, and sales worlds together
Analyzing to predict the future
Refining models for accuracy
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Predictive Analytics
Manipulation of data Dashboards, Drill-downs, interactive reports
New methods and devices
Varying the metrics that affect key objectives
Synchronizing the impact of metrics through an organization
Creating user tools to show effects of good (and bad) choices
Tying the financial, operational, and sales worlds together
Creating models that show potential future scenarios
Refining models for accuracy using advanced tools and statistics
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Governance Issues28
Issues29
Data Quality Repeatability Best Fit Models Naming Consistency Formula Consistency Calculation Consistency Plugging Numbers
(see Pentagon*)
Sample Product stacks30
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Analytics Toolscape32
Data Exploration: Visual data exploration to quickly understand and analyze data within the database
OLAP Optimization: Built-in multidimensional analytics optimization Geospatial: Native in-database geospatial data types and analytics Temporal: Native in-database temporal support to manage and
update time data and analytics Advanced Analytics: Optimized in-database data mining
technology from leading vendors, open source, and Teradata Agile Analytics: In-database data labs to accelerate exploration of
new data and ideas Big Data Integration: Partner tools to analyze unstructured and
structured data Application Development: Tools and techniques to accelerate
development of in-database and Hadoop analytics
A Vendor Sample Toolbox33
Sample Big Data AppliancesIBM - Pure Analytics (Netezza)Oracle – Exodata, ExalyticsSAP – HanaTeradata Other vendors entering the marketplace
Sample ToolkitsIBM – InfoSphere, Open source, HadoopOracle – Hyperion, OBIEE, HadoopSAP – BO, BPCTeradata – Vision, HadoopSAS – BI Software, BI Analytics, Visual AnalyticsTibco – Spotfire
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