This document discusses building an analytic roadmap via Teradata's analytic roadmap service. The service develops a customized roadmap over 8-10 weeks that aligns business and IT initiatives and priorities. It evaluates current state, recommends future state improvements and projects. The roadmap considers business, information, application and systems architecture layers and is delivered along with findings, recommendations and a program plan.
Case Study “Analytics Strategies to Improve Quality & Outcomes”
Trevor Strome, MSc, PMP
Analytics Lead
WRHA Emergency Program
Assistant Professor, Department of Emergency Medicine
University of Manitoba
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
Business analytics in healthcare & life scienceSanjay Choubey
Business analytics for Healthcare, Life Science businesses. Trends, Issues, Challenges, process & steps, Business drivers, Market & compliance, Big data and approach to overcome
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
Case Study “Analytics Strategies to Improve Quality & Outcomes”
Trevor Strome, MSc, PMP
Analytics Lead
WRHA Emergency Program
Assistant Professor, Department of Emergency Medicine
University of Manitoba
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
Business analytics in healthcare & life scienceSanjay Choubey
Business analytics for Healthcare, Life Science businesses. Trends, Issues, Challenges, process & steps, Business drivers, Market & compliance, Big data and approach to overcome
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
Audit: Breaking Down Barriers to Increase the Use of Data AnalyticsCaseWare IDEA
Presenter: Lenny Block, Associate VP, Internal Audit, NASDAQ
While the majority of internal audit leaders and C-suite executives agree data analytics is important to strengthening audit coverage, only a small percentage of organizations are actively using data analytics regularly. Why is that? This webinar will explore challenges and barriers associated with starting, sustaining and expanding the use of data analytics to improve audit coverage.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
Data Governance PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Data Governance Powerpoint Presentation Slides. This PPT deck displays twenty five slides with in depth research. Our topic oriented Data Governance Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Data Governance Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes in detail about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement with snapshots of key deliverables
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
NEED FOR CHANGE: Data is changing the world. We all know that. The real challenge will be to keep up with those changes by hiring the right team to help you take on the data that is already in your organization.
STAFF FOR SUCCES: Make sure you have an executive sponsor that has a vision for how the organization can become data-driven; hire experienced team members to lead the data engineering, and architecture teams; and adopt agile methodologies to allow for quick experimentation and quick failures.
SKILL UP: In a recent survey focused on Spark, over 60 percent indicated that the skills/training gap was their biggest organizational challenges with Spark, but 65% of respondents indicated that they either did not know or had no future plans for training. Cloudera University to get them ramped up quickly. Cloudera University helps organizations tackle the skill gaps issue they encounter when growing their teams and helps them stay up to date on the latest supported technologies.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
Slides from tutorial at EDW 2017 in Atlanta, GA on Implementing Agile Data Governance. Discusses how to write and add governance stories into existing Agile projects.
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
Audit: Breaking Down Barriers to Increase the Use of Data AnalyticsCaseWare IDEA
Presenter: Lenny Block, Associate VP, Internal Audit, NASDAQ
While the majority of internal audit leaders and C-suite executives agree data analytics is important to strengthening audit coverage, only a small percentage of organizations are actively using data analytics regularly. Why is that? This webinar will explore challenges and barriers associated with starting, sustaining and expanding the use of data analytics to improve audit coverage.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
Data Governance PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Data Governance Powerpoint Presentation Slides. This PPT deck displays twenty five slides with in depth research. Our topic oriented Data Governance Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Data Governance Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes in detail about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement with snapshots of key deliverables
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
NEED FOR CHANGE: Data is changing the world. We all know that. The real challenge will be to keep up with those changes by hiring the right team to help you take on the data that is already in your organization.
STAFF FOR SUCCES: Make sure you have an executive sponsor that has a vision for how the organization can become data-driven; hire experienced team members to lead the data engineering, and architecture teams; and adopt agile methodologies to allow for quick experimentation and quick failures.
SKILL UP: In a recent survey focused on Spark, over 60 percent indicated that the skills/training gap was their biggest organizational challenges with Spark, but 65% of respondents indicated that they either did not know or had no future plans for training. Cloudera University to get them ramped up quickly. Cloudera University helps organizations tackle the skill gaps issue they encounter when growing their teams and helps them stay up to date on the latest supported technologies.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
Slides from tutorial at EDW 2017 in Atlanta, GA on Implementing Agile Data Governance. Discusses how to write and add governance stories into existing Agile projects.
2 improve - An improvement track for your companyE2 Partners
In this short presentation we try to give an overall feel what 2 Improve can do for you. We won't go into details but rather give a high level view on our offering and the approach.
Acquity Group is a business process and technology consulting firm. We are and end to end provider of strategy, process and technology solutions. This deck highlights our key competencies around IT Strategy, IT Governance & IT Operations
Creating Enterprise Value from Business Architectureiasaglobal
This presentation will cover the Why (Value) and How (Execution) of a Business Architecture program. You will understand how you can lead your enterprise towards its vision by planning for key Business Capabilities that will get you there.
O futuro de TI passa por compreender a transformação digital dos negócios e qual papel ela deve se desempenhar neste novo cenário cada vez mais próximo. A resposta para esta transformação passa pela Arquitetura Corporativa (EA).
Frameworks to drive value from your investment in Information TechnologyJohn Halliday
This PDF presentation aims to assist the C-Suite (CEO, CIO, CRO, CSO), Board Members and Audit and Risk Committees to be aware of good IT governance frameworks and references and thereby have Value conversations with IT professionals (and assist IT professionals to drive, and prepare for these conversations). It will cover a wide range of frameworks and references. Enjoy!
Similar to Analytic Roadmap Customer Overview - 2015 TUG Final-drs (20)
2. 2
• Background and Definition
• Approach and Delivery
• Why Teradata
Agenda
3. 3
• Are we using technology to transform
our business, or are we just adding
bells-and-whistles to existing processes?
• Do our systems align to our business
model and do they provide the right level
of insight and knowledge?
Source: Wall Street
Journal
Jeanne Ross and Peter
Weill
April 25, 2011
Reuse data,
technology and
business
processes when
implementing
new systems
Permit local
initiatives to
“reinvent
the wheel.”
DO DON’T
The Challenge – How to leverage technology for business value
4. 4
1. We have data, lots of data, and
it’s pervasive. Departments often
produce different results from the
“same” data, causing reconciliation
nightmares
2. Business is rapidly changing.
We need to address new
challenges without sacrificing
support of our operational needs
3. IT and the business seem to have
different priorities and
expectations
The Challenge - What We Hear From Our Customers
6. 6
A consulting service to develop a customized roadmap that
enables and supports our client’s business priorities
Executive Summary …………
Background ….……....
Current State …………..
Future State ……………
Analytic Roadmap
Project Recommendations
Project Sequencing Considerations ..
Business Roadmap Projects ………
Information Roadmap Projects ………
Application Roadmap Projects ……..
Enablement Roadmap Projects ……..
Findings and Recommendations
Table of Contents
3
4
6
10
15
15
17
19
22
25
Delivered in an 8-10 week time frame by
our most experienced professionals
• Integrates proven services
• Supported by the Analytic
Architecture framework
• Considers the full range of
Teradata capabilities
• Demonstrates Teradata’s
Thought Leadership
Customized Roadmap
Analytic Roadmap Service – At a Glance
8. 8
• Background and Definition
• Approach and Delivery
• Why Teradata
Agenda
9. 9
The Framework
provides a
holistic
structure and
basis for
Teradata’s
Analytic
Architecture
Approach
LevelofDefinition
As Architecture
is designed and
planned,
enablement
factors are also
considered that
cross the BIAS
slices
Business-Driven Analytic Architecture (The Cube)
10. 10
Architecture
Context
Comments
Business
Architecture
• Defines organizational business model,
structures, missions, goals, processes
• Business fundamentals are vital for
organizational success
Information
Architecture
• Identifies data to support the Business
View
• Includes calculations and rules
• Typically includes logical/physical data
models
• Data is worked on by applications, used
by business
Application
Architecture
• Application functions and needs
• Applications execute the functional side
of the business architecture
Systems
Architecture
• The part IT cares about most
• Easiest to get wrong when we do not
concentrate on the other aspects of
architecture first!
Architectural ingredients for success
Enablement: Governance
and capability readiness
Program Planning:
Expertise and Oversight
BIAS + Enablement & Program Planning
11. 11
Our Analytic Roadmap Approach
Produces a roadmap tying business priorities to
technology initiatives
Leverages Teradata architectural principles to
define and evaluate initiatives
Consists of 4 major architecture components
(Business, Information, Application, and Systems)
wrapped by Enablement and Program Planning
considerations
Leverages our architecture design principles so
that each recommended initiative ties
to both your priorities and our analytic
best practices
Teradata Architecture Best Practices
Delivery Components Overview
12. 12
Business Information Application System
Program Planning
Enablement
Translate the roadmap into a program plan
Business Information Application System
Identify
business
goals and
initiatives
(to drive
everything
else)
Identify
data
needed for
business
initiatives
Identify
applications
to make use
of the data
Identify
infrastructure
needed to
leverage data
and support
applications
Identify actions needed to prepare or mature the organization
Prepare & Plan
Gather & Align
Evaluate & Recommend
Refine & Confirm
Analytic Roadmap Service - Activities within the B, I, A, & S contexts
13. 13
Business Information Application System
Program Planning
Enablement
1. Opportunity Identification – What are the significant
business improvement opportunities?
2. Current State Analysis - What information and tools
enable these initiatives? How do these enable or limit the
business today?
3. Improvement Opportunity/Future State Analysis –
What can be done to enable and improve targeted business
priorities?
4. Roadmap for Improvement – What are the
recommendations? What are the interdependencies of the
recommendations and how are they related to the business
priorities? What are the targeted benefits and resources?
Value:
• Set Priorities & Focus
• Gain Consensus
• Identify Design Implications
and Inter-dependencies
• Improve Business-IT alignment
• Exploit effectiveness of Existing
Investments
Prepare & Plan
Gather & Align
Evaluate & Recommend
Refine & Confirm
Gain the Answers You Need
Prepareand Plan
Gather and Align
Evaluate and Recommend
Refine and Confirm
14. 14
Delivering the Analytic Roadmap - An Example Timeline
Activities 1 2 3 4 5 6 7
Confirm scope, approach,
deliverables
B I A S
Program Planning
Enablement
Refine & Confirm
Evaluate &
Recommend
Gather & Align
Prepare & Plan
Confirm core team
Align vision, objectives, timeline
Review client documentation
Understand initiatives/projects
Facilitate meetings to validate
roadmap project recommendations
Establish priorities/timing/
dependencies
Draft roadmap/recommendations
Review drafts with key stakeholders
Deliver Analytic Roadmap &
Executive Summary
Meet with IT and Business personnel
8 9 10
16. 16
Q4 Q1 Q2 Q3 Q4
2015
Business Initiatives
Information
Systems
Enablement (Governance and Readiness)
2014
Legend
Status Review
Steering Committee
Source and load
Item, Orders,
Shipments
Update Inventory
and Demand
Forecast loads
Source and load
Procurement Data
Build out Treasury;
Transportation
Model
Projects that
deploy data
Marketing Excellence
Finance Optimization
Logistics - Visibility
Business drivers
Applications
Marketing Analysis
Customer Forecasting
Demand Triggers
Trade Promotion Enhancement
Integrated Margin Management
Projects that
deliver apps
Develop BICC Deployment
Plan and Standards
Establish Arch. Roles & Council (IA, DI, DA, BI Architects)
EDM phase 1 EDM phase 2 (DQ & Metadata)
BICC Development
(BI Delivery; DM)
BICC Growth and Sustainment
Projects that
deploy capability
BI Platform Consolidation
Business Objects SP5
upgrade
ERP Data Services
Platform Reclamation
Sunset BU 1- Marketing Data
Mart
BO Visual IntelligenceMarketing Data Mart
Consolidation
Projects that
deploy technology
The Roadmap in Layers