8:00am - 9:00am - Registration and Continental Breakfast
9:00am-10:00am
How to Establish a Data and Business
Intelligence Governance Discipline
Richard Skriletz,
Global Managing Principal, Business Intelligence
& Data Delivery
Many BI professionals report that their top
priorities include data quality, advanced
analytics, data governance and master data
management. In order to gain the most out of
your investment in BI and analytics you need to
get the data correct. But where should you
start?
In this session attendees will learn how to
establish a data governance discipline inside
their organization.
Topics covered will include:
-
Where to start
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How to involve stakeholders and align them
for success
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How to determine the level of data that is
appropriate for your organization’s specific
applications
-
How to develop an enterprise standard for
data terms and usage
10:30am-11:30am
How to Implement a Comprehensive Data
Integration Approach Aligned to Business Needs
Data Integration includes an organization’s
inventory of data, information assets and
strategies and tools that can help migrate and
align fragmented data assets with business
goals. Data integration strategies include
single, federated or virtual compilations of
data for a specific business goal.
That said, the environment is changing. New
technologies including cloud computing, faster
processors, database innovations, and optimized
architectures can significantly improved
information management.
In this session, attendees will learn different
approaches for managing their data integration
efforts with a focus on understanding what your
information users really want and need.
11:30am-12:30pm
Structuring the Unstructured: How to Design the
Data Architecture to Make BI More Actionable
Executives, business unit managers, staff and
statisticians all need information at various
times and in various forms. The BI architecture
must be able to effectively and quickly provide
users with reliable, accurate and up-to-date
information to help them make decisions of
different levels of complexity.
With all the different users and levels of
complexity how do you design the architecture to
support the varying needs?
In this session attendees will learn:
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How to design a robust architecture that
dispenses effective data
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How to make sure the architecture supports
legal and regulatory requirements
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How to insure that the right data is
acquired and managed.
-
How to manage how the data is
extracted, cleaned, transmitted and loaded
to “populate” databases.
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How to implement and manage the repositories
that organize data and metadata
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Applications and other software tools used
for analysis.
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Tools and applications that address how
information workers and non-IT analysts will
access, display, visualize and manipulate
data.
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How to implement operational processes that
help resolve security, error handling, data
auditing, archiving and privacy
1:30pm-2:30pm
Clear Metrics: How to Build a Powerful Business
Case for Data Quality (panel discussion)
Leading industry analysts claim that the average
price companies are paying for poor quality data
is over $8 million annually. At the same time,
80% of business managers felt their data was
fine while IT had a much different view.
To solve this problem IT organizations need to
develop a data quality metrics program. But
what should this program include and how do you
get buy-in?
In this session, attendees will learn:
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Where to measure, what to measure and how to
measure
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How to make metrics relevant
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How to get buy-in for your plan
3:00pm-4:00pm
|
Waldron |
How to Leverage Analytics to Turn Data Into
Insight
Dennis Waldron, Director, Enterprise
Intelligence Practice, RightPoint Consulting
Predictive analytics helps direct decision
making by applying a combination of advanced
analytics and decision optimization to an
organization’s enterprise data. The objective
is to improve business processes to meet
specific organization goals.
In this session, attendees will learn how:
4:00pm-5:00pm
How Enterprises are Using Analytics to Stay
Ahead of the Competition (panel discussion)
In this session, attendees will learn how
enterprises are leveraging analytics to keep the
organization moving forward.
Topics covered will include:
