session t9 data analytics – starting - etshawaii · 2013. 12. 3. · analyses focused on program...
TRANSCRIPT
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. or its affiliates. This publication may not be reproduced or distributed in any form without Gartner's prior written permission. If you are authorized to access this publication, your use of it is subject to the Usage Guidelines for Gartner Services posted on gartner.com. The information contained in this publication has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information. This publication consists of the opinions of Gartner's research organization and should not be construed as statements of fact. The opinions expressed herein are subject to change without notice. Although Gartner research may include a discussion of related legal issues, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner is a public company, and its shareholders may include firms and funds that have financial interests in entities covered in Gartner research. Gartner's Board of Directors may include senior managers of these firms or funds. Gartner research is produced independently by its research organization without input or influence from these firms, funds or their managers. For further information on the independence and integrity of Gartner research, see "Guiding Principles on Independence and Objectivity."
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
• Session T9 Data Analytics – Starting Small
• State of Hawaii Department of Education - Data strategies and growth
Nov. 21, 2013 Session T9 Data Analytics
2
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
VAXSPED ELL
FARLDiscipline Library
ManagementDestiny
SMS for Food Services (F&RL)
Student IDAssignment
HIDOE Data Current State
HSA Assessment Results
Summative Only
ODSData
Warehouse
Charter School
Via eMail
eCSSSSPED ELL
FARLDiscipline
Teacher CertificationPayroll
Transportation Management SQL SVRdB
Student Information
System (eSIS)
HI DOE Ad Hoc Reports
Current connection to Data Warehouse is for
demographic only
10 digit Id
LegacyCurrentStatus
Benchmark Assessments
BMT/Learnia
AIR
Edison
Plato STAR
ETS/IDMS
School Based
Tech Paths
PDE3 -- True North Logic
Interim Data Base of teacher data (CHAPS???)
Data Architecture – Before State
Nov. 21, 2013 Session T9 Data Analytics
3
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
• Problems with this picture – Great deal of IT budget spent on interfaces – If n=number of databases, then the possible
number of interfaces = (n2 –n) / 2, where n ≥ 2.
• Conclusion: – Stop building custom interfaces
Nov. 21, 2013 Session T9 Data Analytics
4
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
• Graphical Depiction or Snapshot – Part 2 – Provide an anecdote or recent experience that
relates to the importance of graphic
Data Architecture – Future State
5
Nov. 21, 2013 Session T9 Data Analytics
5
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
• Key Accomplishments - K12 LDS - P20W LDS - Financial Reporting System (based on LDS
technology)
Nov. 21, 2013 Session T9 Data Analytics
6
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
• Key points - Total data volume in the hundreds of gigabytes range - Leverage industry standard interfaces where possible - Expansion options (cloud, hybrid, on-premise) - Future integration of unstructured data - Cost containment - Ease of access / use are critical
Nov. 21, 2013 Session T9 Data Analytics
7
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. or its affiliates. This publication may not be reproduced or distributed in any form without Gartner's prior written permission. If you are authorized to access this publication, your use of it is subject to the Usage Guidelines for Gartner Services posted on gartner.com. The information contained in this publication has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information. This publication consists of the opinions of Gartner's research organization and should not be construed as statements of fact. The opinions expressed herein are subject to change without notice. Although Gartner research may include a discussion of related legal issues, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner is a public company, and its shareholders may include firms and funds that have financial interests in entities covered in Gartner research. Gartner's Board of Directors may include senior managers of these firms or funds. Gartner research is produced independently by its research organization without input or influence from these firms, funds or their managers. For further information on the independence and integrity of Gartner research, see "Guiding Principles on Independence and Objectivity."
Rick Howard
Data Analytics - Starting Small
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Government Information Is a Public Asset
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Government Information Is a Public Asset
Are you getting the most business value from your
data?
1 1
0 1 0 1 0 1
0 1 0 1
0 0
0 0
1 1
0 1 0 1 0 1
0
1 0 1 0 0
0 0
1 1
0 1 0
1 0 1 1 0 1
0 0
0 0
1 1 1
0 0 1
0 1 0 1 0 1
0 0 0
1 1
0 1 0 1 0 1
0 1 0 1
0 0
0 0
1 1
0 0 1
0 1 1 0 1
0 0
0 0
0 0
0 0
1
1
1 1
1 0
1
1 0
1 0 1
1
0
0
0
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Key Issues
1. How does big data enhance analytic capabilities in government?
2. What decisions and steps are needed to gain value from big data analytics?
3. What are public sector use cases for big data analytics?
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
By 2015, more than 30% of analytic projects will deliver insights based on structured and unstructured data.
Strategic Planning Assumptions
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
Correlating, analyzing, presenting, and embedding insights from structured and unstructured information together enables government agencies to better personalize the constituent experience and identify opportunities for efficiencies, innovation, and even new business models.
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Government CIOs Have More Sources of Information to Do More With
Open
Social
Commercial
Public
Operational
Enterprise "Dark Data"
Text
Image
Mobile
Transactional Data
Social Audio
Video
IT/OT Search Engine Documents
Prescriptive Analytics
What should happen?
Predictive Analytics
What will happen?
Diagnostic Analytics
Why did it happen?
Descriptive Analytics
What happened?
Open Data
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Linking, Mining, and Sharing Data Expand Information Management Practices
Why
What
How
Whose
Government
Explanatory; Historical
Structured; "Simple"
Offline; Batch
Predictive; Outcomes
Unstructured; Linked
In-line; Real Time
Social
Open Data More sources Social Data More relationships Shared Data More stakeholders Linked Data More context
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Big Data Capabilities Capture the Business Value
Big
Dat
a C
apab
ilitie
s
Primary Use Cases
Constituent Insights and Engagement
Program and Outcomes
Management
Operations and New Services
Risk Management
and Public Safety
Fraud Detection
Ability to Store and Process Unstructured Data
Ability to Link Data of Various Types
Ability to Affordably Perform Comprehensive Analysis
Transactions Geographic Economic Contracts Sentiment Sensor Reports
Monitoring Demographic Weather Mobile Network Email Industry
Correlations and patterns from disparate, linked data sources yield the greatest insights and transformative opportunities
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Business: Shared Analytics and Business Intelligence Infrastructure Road Map
Establish Strategy and Program Governance
Create a Business Intelligence Competency Center
Implement Information Governance
Create a Performance Management Framework
Stand Up the Shared Analytics/BI Infrastructure
Analytics Deployment
1
2
3
4
5
6
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Operational Analyst • Supports worker planning, activities, and decision making
• Supports routine reporting needs • Uses reports to inform operational
processes
• Fixed Reports • Parameterized Reports • Alerts, Ticklers • Operational Dashboard
Business: Shared Analytics/Business Intelligence User Profiles Business Analyst • Enhances capacity for complex
analyses focused on program and/or service delivery targeting, planning, and other forward looking activities
• Aligns within agency/program and across continuum of programs and services (as appropriate or needed)
• Ad Hoc Query • Multi-dimensional
Analysis
Quantitative Analyst Quality Assurance Analyst
• Focuses on highly complex analysis within agencies, programs, contractors and across the continuum of programs and services
• Greater flexibility and less labor intensive capacity to conduct analysis
• Statistical Analysis • Advanced Analytics and
Data Mining • Advanced Visualization
Capabilities • Modeling — "What If"
Scenarios
Manager • Provides management decision-maker BI support for program and policy development, allocation of resources, outcome/impact evaluation, and anticipating and responding to changing needs and mandates
• Program Dashboards • Fixed Reports • Parameterized Reports • Multi-dimensional
Analysis • Requesting Modeling —
"What If" Scenarios
Executive • Provides senior leadership with BI support for budget, program, and policy planning and responsiveness mandates and reporting requirements
• Enhances capabilities to assess outcome/impact and trend analysis among all programs in the enterprise
• Program and Enterprise Dashboards
• Fixed Reports • Parameterized Reports • Results of Multi-
dimensional Analysis and Modeling
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
IT: A Process Framework for Big Data Analytics
Design Analysis
Gather Data
Learning Library
Measure
Implement Execute
and Interpret
Frame Problem
Frame Problem
Design Analysis
Gather Data Execute
and Interpret
Implement
Measure • Is problem a big data problem?
• Gain mutual agreement on problem
Frame Problem
Business leader, IT leader, EA, domain expert, project manager, chief data officer (CDO)
Participants
Objectives • Formulate hypotheses • Focus data exploration tasks
Design Analysis
EA, business analyst, machine learning expert, data mining engineer, data scientist
Participants
Objectives • Work with data sources
• Determine relevant data
Gather Data
Software engineer, network engineer, data architect, statistician, EA
Participants
Objectives • Technical skills to execute solutions
• Business skills to interpret outcomes
• Act upon big data insights
Execute and Interpret
Machine learning expert, statistician, data miner, EA, data scientist
Participants
Objectives • Technical skills to implement BDA
• BDA production environment
• User training • Business skills to implement change
Implement
Software engineer, network engineer, data analysts
Participants
Objectives • Create meaningful metrics
• Identify BDA success and failures
Measure
Financial partner, data analyst, business analyst, EA, and so on
Participants
Objectives
Learning Library
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Using Predictive Analytics in Foster Care Case Management
Social Services
School Healthcare
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Protecting Public Services With Context: Enhanced Fraud Detection
User and Entity Profiles
Agency and Government Systems
Transaction Profile
Collective Network Analysis
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Recommendations
ü Do not postpone the implementation of big data analytics, but develop an information management strategy first.
ü Identify big questions relevant to big data.
ü Understand big data technology capabilities and manage organizational impacts.
ü Validate your big data assumptions in a proof of concept.
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Recommended Gartner Research
è Invest in Information and Analytics to Benefit From Big Data Douglas Laney, Frank Buytendijk (G00250120)
è Toolkit: Big Data Business Opportunities From Over 100 Use Cases Frank Buytendijk, Lisa Kart, and others (G00252112)
è Information Governance in the Age of Big Data Svetlana Sicular (G00251071)
è Decision Point for Practical Big Data Use Cases Svetlana Sicular (G00239633)
è Predicts 2013: Business Intelligence and Analytics Need to Scale Up to Support Explosive Growth in Data Sources Daniel Yuen, Bill Gassman, and others (G00227565)
For more information, stop by Gartner Research Zone.
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM Nov. 21, 2013
Session T9 Data Analytics 24
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
PAYROLL 1972
Nov. 21, 2013 Session T9 Data Analytics
25
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
PAYROLL 1972 FAMIS 1983
Nov. 21, 2013 Session T9 Data Analytics
26
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
PAYROLL 1972 FAMIS 1983
DATAMART 2002
Nov. 21, 2013 Session T9 Data Analytics
27
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
PAYROLL 1972 FAMIS 1983
DATAMART 2002 ERP 2014
Nov. 21, 2013 Session T9 Data Analytics
28
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
DATAMART
FAMIS
PAYROLL
Nov. 21, 2013 Session T9 Data Analytics
29
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
v
DATAMART
FAMIS PAYROLL
BUDGET
DOE BUDGET
FIXED ASSETS
HRMS TREASURY
DOE FMS
DOE eHR PROCUREMENT
TIME & ATTENDANCE
Nov. 21, 2013 Session T9 Data Analytics
30
© 2013 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
ERP SYSTEM
Budget & Financial Management
Human Resources Management
Grants Management
Asset Management & Inventory Control
Time & ALendance Tracking Payroll
Acquisition Procurement
Nov. 21, 2013 Session T9 Data Analytics
31