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Business Data Lake for Operational
Reporting

How shifting to the
Business Data Lake
helps businesses
improve operational
reporting

Operational Reporting – data in the raw
Operational reporting is the lifeblood of business: it empowers the day-to-day
changes and adjustments that keep a business in line with its strategic objectives
and delivers the first indicators of trouble. For something so important, it’s been a
significant challenge for IT. Because operational reporting is, by its very nature, a
local challenge while IT’s data solutions tend to focus on the enterprise. The Pivotal
Data Lake makes it possible to meet operational reporting requirements at the local
level and provides a base for delivering wide-ranging benefits across the enterprise.

Data delayed is opportunity denied
At the heart of the challenge of operational reporting is timeliness. It’s about reacting
to what is happening now, because the sooner you know about an event the better
the response will be.
Next day

Figure 1: Time against scope

EDW

Data delay

Data
Mart

Real-time

ODS

Source

Source
specific

Enterprise
wide

Data scope
IT tends to focus on two solutions to this challenge. Firstly, access to standard
screens within source systems, which are rarely strong at reporting. And secondly
the creation of operational data stores (ODS) which replicate the source information
into another database where some reporting can be done. These ODS solutions are
then separated to the data marts and EDWs where a greater investment is made on
the reporting tools and capabilities.
The challenge for IT is that those ODS solutions run on different platforms to data
marts and EDWs. They are tuned differently and this results in fragmented solutions
for problems that are, in many ways, linked: today’s operational challenge is
tomorrow’s strategic issue.
The challenge for IT, therefore, is how to offer near real-time reporting and analytics
in a way that feeds the strategic view.

Operational data in the Pivotal Business Data Lake
The Pivotal Business Data Lake is designed to enable line of business solutions in a
single platform that also addresses enterprise needs. For operational reporting this
means providing three key capabilities:
1.	 The ability to rapidly copy information from source systems into the Business
Data Lake
2.	 The ability to create standard and ad-hoc reports
3.	 The ability to add real-time alert management

PDD - The replication tool
The first challenge is how to copy information from source systems into the Business
Data Lake. It’s here that Pivotal Data Dispatch provides a visual tool for replicating
source information into the Business Data Lake. This includes managing third-party
real-time replication technologies where PDD’s 10 second response time is not
quick enough.
BIM the way we do it

HAWQ and SQLFire
Most ERP systems have specific database schemas that require interpretation
through business logic to make sense. Using PDD it is possible to create these maps
within the Business Data Lake and then use the fast HAWQ technology to meet most
operational reporting needs. When multiple users and continual access are needed,
for instance for mobile reporting, using the SQLFire in-memory database of the
Business Data Lake gives business users near instantaneous response times.

Event on ingest – SQLFire and GemFire
The final capability is what really enables IT to go beyond traditional solutions for
operational reporting and instead deliver true event-based solutions. The Pivotal
Business Data Lake isn’t simply a database against which reports can be run – it’s
an active data platform where in-coming information can automatically trigger alerts
and system events to keep the business on track.

Figure 2: PDD Data Management
Data Analyst
Research &
Analysis

Pivotal
Analytics

Chorus

BI tools

Pig
(Hadoop)

Semi/
Unstructured

Checkout = Provision

Checkin = Cleanup

Click-stream

Server logs

SQLFire
HAWQ
Pivotal Data Dispatch
(provisioning)
Pivotal HD
Pivotal Data Dispatch
(onboarding)

ERP

CRM

SRM

Finance

Application
data streams

NFS Share

Data in context
One of the biggest challenges that operational reporting solutions face today is that
they look only at the small picture, when it’s the bigger picture that usually drives
decision-making. The Pivotal Business Data Lake is a new approach to information
management, one that encourages line of business and operational solutions but
which also provides an information fabric – a means for getting information from
across the enterprise and pulling it into operational reporting.

Context in the enterprise
If an ERP report also requires information on stock from another division, clarity on
a strategic objective or external information such as the weather, it is possible to
combine all of this information within the Pivotal Business Data Lake. Encouraging
all parts of the organization to dynamically create their own operational and
departmental reporting solutions helps encourage users to look at master and
reference data management to better leverage each other’s information to their
mutual advantage. The corporate view is then just the aggregation of these
LoB views and again the outputs from the corporate view can be used to direct
operational decision-making.

Figure 3: How the corporate view works

Corporate view
Information governance

Business
unit 2

Business
unit 3

Looking at information in this way makes operational reporting an integral part of the
performance of the business. Given that operations is where the rubber hits the road,
this is exactly as it should be.

Context in history and future
The other challenge for operations is the analytics of operations in the context of
history: what happened last time this situation occurred? It’s here that the Pivotal
Business Data Lake really offers a new dimension on operational information: time.
Because it leverages the low cost storage technologies of big data, the Pivotal
Business Data Lake can automatically include all history of every attribute. This
gives operational managers not simply the ability to compare the current status with
historical trends but also to institute next generation approaches such as predictive
asset maintenance and predictive demand forecast. By providing the context in
history as well as in the enterprise, operational reporting goes beyond simply ‘looking
at the now’ and begins to provide a window onto the future.

Summary
Operational reporting has long been a challenge for enterprises – how to meet
local reporting needs while focusing on an enterprise context. The Pivotal Business
Data Lake solves this conundrum – it is no longer a question of operational versus
enterprise views. It becomes simply a question of finding the right view on data to
meet a business need.
The Pivotal Business Data Lake provides lightning fast in-memory analytics
and mobile BI support as well as predictive analytics capabilities. This brings to
operational reporting the power of modern BI and analytics in a platform that can be
leveraged across the business.
Operational reporting is the lifeblood of business and Pivotal’s Business Data Lake
embeds it as a core component of your information strategy.

The information contained in this document is proprietary. ©2013 Capgemini.
All rights reserved. Rightshore® is a trademark belonging to Capgemini.

Find out more at

www.capgemini.com/bdl
and

www.gopivotal.com/
businessdatalake
Or contact us at

bim@capgemini.com

About
Capgemini
With more than 130,000 people
in 44 countries, Capgemini is one
of the world’s foremost providers
of consulting, technology and
outsourcing services. The Group
reported 2012 global revenues of
EUR 10.3 billion.
Together with its clients, Capgemini
creates and delivers business
and technology solutions that fit
their needs and drive the results
they want. A deeply multicultural
organization, Capgemini has
developed its own way of working,
the Collaborative Business
ExperienceTM, and draws on
Rightshore®, its worldwide
delivery model.

MCOS_GI_AH_20131127

Business
unit 1

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Business data lake for operational reporting

  • 1. Business Data Lake for Operational Reporting How shifting to the Business Data Lake helps businesses improve operational reporting Operational Reporting – data in the raw Operational reporting is the lifeblood of business: it empowers the day-to-day changes and adjustments that keep a business in line with its strategic objectives and delivers the first indicators of trouble. For something so important, it’s been a significant challenge for IT. Because operational reporting is, by its very nature, a local challenge while IT’s data solutions tend to focus on the enterprise. The Pivotal Data Lake makes it possible to meet operational reporting requirements at the local level and provides a base for delivering wide-ranging benefits across the enterprise. Data delayed is opportunity denied At the heart of the challenge of operational reporting is timeliness. It’s about reacting to what is happening now, because the sooner you know about an event the better the response will be.
  • 2. Next day Figure 1: Time against scope EDW Data delay Data Mart Real-time ODS Source Source specific Enterprise wide Data scope IT tends to focus on two solutions to this challenge. Firstly, access to standard screens within source systems, which are rarely strong at reporting. And secondly the creation of operational data stores (ODS) which replicate the source information into another database where some reporting can be done. These ODS solutions are then separated to the data marts and EDWs where a greater investment is made on the reporting tools and capabilities. The challenge for IT is that those ODS solutions run on different platforms to data marts and EDWs. They are tuned differently and this results in fragmented solutions for problems that are, in many ways, linked: today’s operational challenge is tomorrow’s strategic issue. The challenge for IT, therefore, is how to offer near real-time reporting and analytics in a way that feeds the strategic view. Operational data in the Pivotal Business Data Lake The Pivotal Business Data Lake is designed to enable line of business solutions in a single platform that also addresses enterprise needs. For operational reporting this means providing three key capabilities: 1. The ability to rapidly copy information from source systems into the Business Data Lake 2. The ability to create standard and ad-hoc reports 3. The ability to add real-time alert management PDD - The replication tool The first challenge is how to copy information from source systems into the Business Data Lake. It’s here that Pivotal Data Dispatch provides a visual tool for replicating source information into the Business Data Lake. This includes managing third-party real-time replication technologies where PDD’s 10 second response time is not quick enough.
  • 3. BIM the way we do it HAWQ and SQLFire Most ERP systems have specific database schemas that require interpretation through business logic to make sense. Using PDD it is possible to create these maps within the Business Data Lake and then use the fast HAWQ technology to meet most operational reporting needs. When multiple users and continual access are needed, for instance for mobile reporting, using the SQLFire in-memory database of the Business Data Lake gives business users near instantaneous response times. Event on ingest – SQLFire and GemFire The final capability is what really enables IT to go beyond traditional solutions for operational reporting and instead deliver true event-based solutions. The Pivotal Business Data Lake isn’t simply a database against which reports can be run – it’s an active data platform where in-coming information can automatically trigger alerts and system events to keep the business on track. Figure 2: PDD Data Management Data Analyst Research & Analysis Pivotal Analytics Chorus BI tools Pig (Hadoop) Semi/ Unstructured Checkout = Provision Checkin = Cleanup Click-stream Server logs SQLFire HAWQ Pivotal Data Dispatch (provisioning) Pivotal HD Pivotal Data Dispatch (onboarding) ERP CRM SRM Finance Application data streams NFS Share Data in context One of the biggest challenges that operational reporting solutions face today is that they look only at the small picture, when it’s the bigger picture that usually drives decision-making. The Pivotal Business Data Lake is a new approach to information management, one that encourages line of business and operational solutions but which also provides an information fabric – a means for getting information from across the enterprise and pulling it into operational reporting. Context in the enterprise If an ERP report also requires information on stock from another division, clarity on a strategic objective or external information such as the weather, it is possible to combine all of this information within the Pivotal Business Data Lake. Encouraging all parts of the organization to dynamically create their own operational and departmental reporting solutions helps encourage users to look at master and reference data management to better leverage each other’s information to their
  • 4. mutual advantage. The corporate view is then just the aggregation of these LoB views and again the outputs from the corporate view can be used to direct operational decision-making. Figure 3: How the corporate view works Corporate view Information governance Business unit 2 Business unit 3 Looking at information in this way makes operational reporting an integral part of the performance of the business. Given that operations is where the rubber hits the road, this is exactly as it should be. Context in history and future The other challenge for operations is the analytics of operations in the context of history: what happened last time this situation occurred? It’s here that the Pivotal Business Data Lake really offers a new dimension on operational information: time. Because it leverages the low cost storage technologies of big data, the Pivotal Business Data Lake can automatically include all history of every attribute. This gives operational managers not simply the ability to compare the current status with historical trends but also to institute next generation approaches such as predictive asset maintenance and predictive demand forecast. By providing the context in history as well as in the enterprise, operational reporting goes beyond simply ‘looking at the now’ and begins to provide a window onto the future. Summary Operational reporting has long been a challenge for enterprises – how to meet local reporting needs while focusing on an enterprise context. The Pivotal Business Data Lake solves this conundrum – it is no longer a question of operational versus enterprise views. It becomes simply a question of finding the right view on data to meet a business need. The Pivotal Business Data Lake provides lightning fast in-memory analytics and mobile BI support as well as predictive analytics capabilities. This brings to operational reporting the power of modern BI and analytics in a platform that can be leveraged across the business. Operational reporting is the lifeblood of business and Pivotal’s Business Data Lake embeds it as a core component of your information strategy. The information contained in this document is proprietary. ©2013 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. Find out more at www.capgemini.com/bdl and www.gopivotal.com/ businessdatalake Or contact us at bim@capgemini.com About Capgemini With more than 130,000 people in 44 countries, Capgemini is one of the world’s foremost providers of consulting, technology and outsourcing services. The Group reported 2012 global revenues of EUR 10.3 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model. MCOS_GI_AH_20131127 Business unit 1