KPMG's Business Intelligence Maturity Assessment provides an overview of a client's current BI landscape, capabilities, and needs to identify areas for improvement. The assessment evaluates five elements of the BI framework: business strategy; input/data capture; capabilities; technology; and output/information usage. It identifies root causes of issues like inaccurate reporting, lack of insight, and missed opportunities. The assessment then helps clients prioritize investments to address weaknesses and design new BI strategies and capabilities. Case studies demonstrate how the assessment highlighted issues for a brewer and building society, and helped develop roadmaps for BI transformation.
Chief Data Officer (CDO) Organization RolesDave Getty
If your Company wants to treat Data as an Asset, it needs a Chief Data Officer to initiate significant changes in the Roles and Responsibilities of the Data Governance, IT Data Management and Business Analyst Data Scientist organizations. This presentation describes how the resulting organizations might look and behave.
How to Build a Rock-Solid Analytics and Business Intelligence StrategySAP Analytics
http://spr.ly/SBOUC_VP - The key to a successful analytics program is to have the right strategy in place. An effective approach benefits both IT and the core business alike. A solid, well-communicated business intelligence strategy is more than just a good idea. It’s crucial to maximizing ROI, reaching KPIs, and identifying metrics that actually mean something. Take the next step in your journey to a solid BI strategy.
Presenters: Deepa Sankar & Pat Saporito, SAP
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Chief Data Officer (CDO) Organization RolesDave Getty
If your Company wants to treat Data as an Asset, it needs a Chief Data Officer to initiate significant changes in the Roles and Responsibilities of the Data Governance, IT Data Management and Business Analyst Data Scientist organizations. This presentation describes how the resulting organizations might look and behave.
How to Build a Rock-Solid Analytics and Business Intelligence StrategySAP Analytics
http://spr.ly/SBOUC_VP - The key to a successful analytics program is to have the right strategy in place. An effective approach benefits both IT and the core business alike. A solid, well-communicated business intelligence strategy is more than just a good idea. It’s crucial to maximizing ROI, reaching KPIs, and identifying metrics that actually mean something. Take the next step in your journey to a solid BI strategy.
Presenters: Deepa Sankar & Pat Saporito, SAP
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Targeted Analytics: Using Core Measures to Jump-Start Enterprise AnalyticsPerficient, Inc.
How top healthcare organizations are realizing the benefits of data analytics in such core areas as core measures, clinical alerting, surgical analytics, service line profitability, diabetes management, revenue cycle management, claims management and utilization.
Microsoft er en data-drevet organisation, og finance spiller en vigtig rolle ift dette. Data-indsigt er en forudsætning for en transparant forretning og for transformation. Hør Microsofts CFO’s syn på sagen og se en demo af de spændende muligheder med Power BI og visualisering.
George Tsichlis, CFO og Lars Bo Granath, Produktchef for Data Platform, Microsoft Danmark
2013 Data Governance Professionals Organization (DGPO) Digital River WebinarDeepak Bhaskar, MBA, BSEE
Hosted by the Data Governance Professionals Organzation (DGPO) for webinar attendees. Successful Data Governance at Digital River. 2013 DGIQ Data Governance Best Practice Award: Finalist
CohnReznick Information Management and AnalyticsCohnReznick
In today’s economy, executives need to make smart decisions fast, see opportunities where competitors haven’t, and continuously innovate to create advantage. While e-commerce, IoT devices, and social media are creating an unprecedented volume of data, organizations wrestle with disparate systems, silo’d infrastructure, and fractured decision-making. As a result, companies fail to recognize opportunity, manage risks, and create value.
Advanced enterprises compete differently. Business Intelligence and Data Warehousing technologies form the foundation that support and enable this differentiation. It’s more than just getting reports and analytics, it’s about scalability, security, robustness and enterprise grade information delivery that enable an insightful organization.
My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics.
Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.
View the webcast recording at: http://ow.ly/Rnu3307Umb9
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Targeted Analytics: Using Core Measures to Jump-Start Enterprise AnalyticsPerficient, Inc.
How top healthcare organizations are realizing the benefits of data analytics in such core areas as core measures, clinical alerting, surgical analytics, service line profitability, diabetes management, revenue cycle management, claims management and utilization.
Microsoft er en data-drevet organisation, og finance spiller en vigtig rolle ift dette. Data-indsigt er en forudsætning for en transparant forretning og for transformation. Hør Microsofts CFO’s syn på sagen og se en demo af de spændende muligheder med Power BI og visualisering.
George Tsichlis, CFO og Lars Bo Granath, Produktchef for Data Platform, Microsoft Danmark
2013 Data Governance Professionals Organization (DGPO) Digital River WebinarDeepak Bhaskar, MBA, BSEE
Hosted by the Data Governance Professionals Organzation (DGPO) for webinar attendees. Successful Data Governance at Digital River. 2013 DGIQ Data Governance Best Practice Award: Finalist
CohnReznick Information Management and AnalyticsCohnReznick
In today’s economy, executives need to make smart decisions fast, see opportunities where competitors haven’t, and continuously innovate to create advantage. While e-commerce, IoT devices, and social media are creating an unprecedented volume of data, organizations wrestle with disparate systems, silo’d infrastructure, and fractured decision-making. As a result, companies fail to recognize opportunity, manage risks, and create value.
Advanced enterprises compete differently. Business Intelligence and Data Warehousing technologies form the foundation that support and enable this differentiation. It’s more than just getting reports and analytics, it’s about scalability, security, robustness and enterprise grade information delivery that enable an insightful organization.
My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics.
Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.
View the webcast recording at: http://ow.ly/Rnu3307Umb9
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Business intelligence and data analytic for value realization iyke ezeugo
This presentation centres on how Businesses can take advantage of this era of information overload for enhancing their Business Intelligence and Data Analytic exploits to assure greater values with the available technology solutions.
It is focused on demystifying the BIG DATA phenomenon of the information age, and also on motivating traditional business drivers to begin to take advantage of business decision support systems (DSS) for their business intelligence and data analytics needs. The objective is to help organizations discover what and what they can do with these ICT solutions in their business for greater value realization. These values are expressed in building agile business that are able to thrive, make profit, grow and remain sustainable in the midst of stiff competition, globalization, innovation and regulatory pressures, even with elastic customers’ demands.
Apart from timely availability of data and insightful business knowledge, this presentation will find the list of benefits that are gained by investing in business intelligence services.
Most of the businesses are sitting on various types of data, which they are assessing during their business operations. But most of the time, the available data is not effectively organized or consolidated to analyze and interpret.
Data discovery, channeling data, data visualization, and problem-solving; our experts are ready to help any businesses who need assistance on big data.
Data analysts and data scientists are becoming commonplace in most businesses nowadays and employing them on a full-time basis creates a severe financial burden to the management; this is where HLB HAMT and their data analysis professionals step in.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
Data Integrity: From speed dating to lifelong partnershipPrecisely
Governance has little to do with governance…it’s about delivering and demonstrating value. It’s one thing for your colleagues to intellectually believe in the value of data, good data, and governed data, but it’s another thing entirely to have them emotionally engaged and excited to be involved. In this presentation from the CDO Sit-Down series, Shaun Connolly, Vice President of International Strategic Services, shares his thoughts and experience on approaches to win over reluctant leaders and business teams and describe the key components of successful programs.
What is Business intelligence
Core Capabilities of Business Intelligence
Elements of Business Intelligence
Why Companies opt for Business Intelligence
Benefits of Business Intelligence
User of Business Intelligence
Reports of Business Intelligence
Business Application in Extended Enterprise
Business Analytics
Golden Rules for Business Intelligence
5 Stages of Business Intelligence
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
2. Our Business Intelligence Maturity Assessment provides a quick high level
overview of your BI Landscape, where you are today and what the long term
aspirations are. We find this is useful in a number of cases particularly where
there is significant business change, new to role executives or a change in
strategy.
These are all common symptoms of poor or failing BI. The Maturity assessment
will identify the root cause of these issues so as to allow management to
prioritise investment. Our review will support prioritisation of these root causes
thereby allowing management to gain most value from any investment made.
Whatourclientstellus
“Everything is
done in Excel”
“People come to
management
meetings with
differing views
of the same
number”
“Definitions for
our data are
different across
the business”
“We are not clear
on how our
performance is
measured”
“We have
multiple teams
producing
reports across
the business”
“How does
my BI
compare
to my peer
group?”
“I’m new in post
and I want to
know how good
my BI is?”
“We have too
many reports”
“Our systems are
not up to the
job”
“Management
do not trust the
figures”
“We don’t know
the value of data
in our business”
“We can’t get
access to the
data that we
need for our
reports”
3. We consider business intelligence from the point of input (data capture) through
to output of information and how it is used by the business. We work with your
team and conduct a combination of interviews, workshops and document reviews
to assess the current state across five elements of the BI Framework:
HowcanKPMGhelp?
BUSINESS STRATEGY
BAU MANAGING CHANGE
INPUT/DATA CAPTURE
Business Intelligence Assessment Framework
EXECUTE–
SUPPLY
EXECUTE–
SUPPLY
OUTPUT/
INFORMATION USAGE
Capabilities
–– Information strategy and planning
–– BI and Analytics delivery (reports,
analytics)
–– Data delivery (MDM, DQ)
Technology
–– Source systems, Data Warehouses,
BI Tools, Infrastructure
–– Data (master data, meta data, refer-
ence data, transactional data)
–– Data Integration and extraction tools
Information Management &
Data Governance
–– Operating Model
–– Information and Data Governance
–– Information standards
Information Demand
What information or insights does
your business need?
Information Management & Data
Governance
What controls, processes and
policies are in place to protect the
quality and integrity of data that
feeds into reports?
Capabilities
What tools, capabilities and
resources do you have to support
BI and to meet the needs of your
business?
Technology
How well does your IT infrastructure
and application suite support the
demand for information, data
management and enable your BI
capabilities?
Common Data Model
How well do you use a single data
model to support data quality and
integrity across the organisation?
11 14
15
12
13
COMMON
DATA
MODEL
Information demand
–– Information to support Finance,
marketing and other operational
decisions
–– Supported by KPIs, reports and
analytical Framework
–– Automated and self service reports