Are you getting the most out of your data?

Info-Tech Research Group 2Info-Tech Research Group 2
Info-Tech Research Group is a trusted source of quality IT research and
consulting services
Info-Tech Research Group is a world-class provider of IT
research and advice that drives measureable results. We
leverage our knowledge of the IT market, best practice research,
and diagnostic programs to help IT departments evolve from fire-
fighting cost centers to trusted partners driving the business
forward through technology.
Info-Tech Research Group serves more than 30,000 members across 5 continents across the gamut of industries.
Offices are located in Toronto, Canada; London, Canada, and Las Vegas, Nevada
Shari Lava: AVP – Vendor Advisory Services
Info-Tech Research Group
Shari Lava is the Associate Vice President for Info-Tech’s Vendor Consulting and Industry
Research team that focuses on evaluating best fit industry solutions for specific markets.
Having previously worked as a Senior Research Analyst Ms. Lava led and built Info-Tech’s
Vendor Landscapes and strategy research in the Applications space, working directly with
vendors to understand their market strengths.
Previous to Info-Tech, Ms. Lava was part of Deloitte Consulting’s Public Sector practice.
Shari’s role was to lead the selection, development and implementation of solutions in this
sector, adhering to best practice methodologies.
Ms. Lava is ITIL certified, a Certified Change Management professional and a member of the
International Association of Business Communicators.

SAS is the leader in analytics. Delivering analytics, business intelligence and
data management software and services.
SAS is the leader in business analytics software and services,
and the largest independent vendor in the business intelligence
market. Through innovative solutions, SAS helps customers at
more than 70,000 sites improve performance and deliver value
by making better decisions faster. Since 1976 SAS has been
giving customers around the world THE POWER TO KNOW®.
SAS has customers in 140 countries, and software installed at more than 75,000 business,
government and university sites worldwide.
Steve Holder, National Practice Lead, Analytics
SAS Institute, Canada
Steve is responsible for driving the analytics solution strategy in Canada; providing thought
leadership for the Analytics and Big Data portfolio. A Canadian analytics evangelist Steve
has seen first-hand how the use of analytics can help customers solve the most intractable
problems; make the best decisions possible and unearth new opportunities. Steve’s passion
is making technology make sense for everyone regardless of their technical skillset.
With over two decades of software industry experience, spanning: management, solutions
architecture, presales and sales, Steve brings alignment and consistent execution across
SAS’ enterprise, small and medium business segment and channel customers.
Prior to joining SAS in 2014 Steve was regional deliver director at IBM and Director of
solution strategy at SAP.

Business Analytics: Terms We Confuse
Predictive Analytics?
Big Data?
Data Mart?
Ad Hoc Reporting?
Analytics?Cross-Channel Analytics?
Algorithm?
Business Intelligence?
Operational Reporting?
Data Mining?

Agenda
Business Intelligence vs Business Analytics
Business Analytics Use Cases
Kicking Off A BA Project with a Strong Team
Building a Business Case
Technology, People, and Process Considerations
Pilot
Implementing a Pilot Project
Closing Thoughts
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Business Intelligence Business AnalyticsBoth
Past Present FutureInsight
Into
BI is heavily focused on observing
historical and present data to create
reports and dashboards
Focus on evaluating and assessing
the present and future of the
organization by utilizing regressions,
trends, and forecasts
Reporting is focused on tracking,
documenting, and analyzing current
trends

Mid-Market Business Analytics Use Cases
5%
5%
20%5%
30%
15%
20%
Product Evaluation Features
Usability
Mid-Market organizations likely have less technical staff and
more business users interacting directly with the software,
increasing the need for an intuitive user interface, especially
for difficult analytical functions.
Affordability
Small organizations with limited resources will place high
priority on an affordable BA solution.
Architecture
Architecture is always a concern when investing, effecting
the initial time investment and future scalability for a small
Mid-Market organization.
Vendor Evaluation Features
Viability
Viability is important, but a vendor’s strategy to support the
market is more important.
Focus
Vendor is committed to the market segment and product
improvements and listens to customers’ requests for new
features.
Reach
Smaller organizations tend to be more localized, but still
need support from their vendor.
Sales
The sales process for the mid-market needs to be flexible
and adaptable to meet the budgetary constraints of these
organizations.
Usability
Affordability
Architecture
Viability
Focus
ReachSales

Use Case Examples
HR IT
Finance
Logistics
Sales
and
Marketing
Talent Assessment
Performance Assessment
Employee Satisfaction Modelling
Shipping Route Optimization
Package Optimization Company Growth Forecasting
Demand Forecasting
Incident and Problem
Management Assessment
Change Management
Assessment
Activity-Based Budgeting
Valuations Risk Assessment
Development Time
Estimation

If You Want to Kick Off a Business Analytics or Business Intelligence Project
Your Need to Have a Good Team Supporting You
Business Sponsor
Enterprise / System Architect
Business Analyst
DBA / Data Modeller
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Core Team Sponsor
CMO
CFO
CIO
Significant influence among
senior decision makers
High enthusiasm for BA
A good working relationship
with IT
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5
The experience to make the
high-level strategic decisions7
Strong understanding of
Analytics
High credibility among senior
decision makers
Ample availability over the
next three months
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4 6
Traits

Sell Your Stakeholders With a Strong Business Case that Has the Following
Key Elements
• What is this project?
• Why are you doing this project?
Part of the business case will be developed prior to picking your
team while the rest will be developed with your team.
Project
Background
Quantitative and
Qualitative
Benchmarks
Alternative
Solutions
Implementation
Risks
• What are the measurable benefits of this project related to current KPIs?
• What are other benefits the company would experience?
• What are some case studies of these benefits?
• What alternatives did you consider?
• How did you rank these alternatives?
• Why are you picking your specific solution?
• How will you execute your plan?
• Who will be responsible for your plan?
• What are some risks associated with this project?
• How will you mitigate any risks?

Key Technology Considerations Before Implementing
Data
Architecture
Data
Development
Interoperable
Data
Integration
Data
Operations
Data
Security
Master Data
Management
Data
Warehouse
Content
Management
Metadata
Management
Data Quality
Business
Analytics

Key People and Process Considerations Before Implementing
People Process
Culture Change:
Role Change – From a:
• Accept data; and
• Be curious about data
DBA Data Scientist
Reporting and Analysis
Queries:
• Business leaders run reports
• IT maintains and updates
systems
Reporting and Analysis
Timing:
• Run analytics continuously
• Less time reporting
• More time analyzing

Pilot Before You Implement
DO DON’T
Gain approval from your Sponsor and key
stakeholders to pilot the project
Pilot BA on a small project that has:
• Low visibility
• High data quality
• Low complexity
Implement a solution without Piloting
Pilot BA on a project that has:
• High visibility
• Low data quality
• High complexity
• High time sensitivity

Pilot Project Implementation
Pre
Check-In
Business
Needs
Data
Needs
Tech
Needs
Sprints
Post QA
Requirements Data Architecture
System
Architecture and
Environment
Deployment
Planning

Closing Thoughts
Business Analytics is the way of the future for companies
Machine learning, and deep learning will further spur the
growth and effectiveness of Analytics
Make sure your company is ready to take advantage of
everything Analytics has to offer
Select a vendor that meets your specific needs
Be thorough with your implementation and support
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Are you getting the most out of your data?

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