IBM GPRA

Creating your GPRA Solution and
Organizational Processes

by
Tertius Eksteen

© 2011 IBM Corporation

This section addresses the remaining three roles of our six
role approach

Revise strategic plans and annual performance plans this year to
include specific high performance goals.

Develop appropriate measures of performance to measure progress
against strategic and annual performance plans

Establish a review process with top agency executives to use real time
data to make strategic decisions and improving performance

Use analytical tools including dashboards, drill downs, and automated
This Session

alerts to generate metrics, explore problem areas and develop scenarios

Integrate disparate and distributed data sources to create the central
data repository needed for decisions and performance management

Enable agencies to effectively manage the growing volumes of
structured and unstructured data, to improve data quality and integrity

GPRA Modernization Act – DRAFT © 2011 IBM Corporation

The Act requires agencies to improve the management,
integration, and analysis of their data
Executives Managers Analysts Experts

Monitor Analyze Make Decisions
•How are we doing? •Why are getting these •What should we be doing?
•Convey information at a performance metrics? •Develop and analyze decision
glance •Analyze exception conditions model scenarios

Master Data Data
Management Warehouses

Integrate

Classified Unclassified Content Streaming
Data Data Information

Quality Lifecycle Security & Standards
Privacy

Role 4 : Use analytical tools including dashboards, drill
downs, and automated alerts to support decision making


Master Data Data

Integrate


Privacy

The three decision support solution groups address specific
performance related questions


Agencies have to determine how well they are doing
against their performance goals

6 GPRA Modernization Act – DRAFT © 2011 IBM Corporation

Scorecards & Dashboards

Immediate Insights to Business Performance

Track core operational
processes and often display
Operational real-time data. These
Dashboard dashboards emphasize
monitoring more than
analysis or management.
Track departmental
processes and projects and
emphasize analysis more
Tactical than monitoring or
Dashboard management. Often
implemented using portals
and run against data marts
or data warehouses.
Monitor the execution of
corporate strategic
Strategic objectives at each level of
Dashboard / the organization and
Scorecard emphasize management
more than monitoring or
analysis.


Scorecards & Dashboards Reports

Periodic Reporting of Business Performance

Frequently used reports are
predefined and either pre-
run by operations staff, or
Definition
maybe run by a user by
specifying criteria for a fixed,
defined set of attributes.
Standard reports are run on a
fixed schedule (daily, weekly,
Use monthly, quarterly, yearly,
etc.) for a very fixed purpose,
e.g. Regulatory Reports.


Scorecards & Dashboards Reports Alerts

Automated Notification of Business Performance

Standard alerts and notifications
set so that if a metric crosses that
threshold, a user group
(operations, controlling, etc.)
Description receive an alert informing of this
event. This would trigger an
event such as further analysis and
possibly some subsequent
corrective action.
Alerts and notifications can be in
Use the form of emails, or application
messages.


Performance related issues can be analyzed to determine
why specific metric values were generated


Ad Hoc Query

Deeper Analysis of Trends & Patterns

Users pick and choose
attributes to develop their
Description own custom reports, to
explore specific trends and
patterns.
Users are allowed to pick
from a defined set of
Use
metrics and dimensions to
form the report.


Ad Hoc Query Drill Down

Explore Trends & Patterns

To move from summary
information to explore the
Description
detailed data that created
it.
Explore the reasons behind
Use
summary information.


A1
Ad Hoc Query Drill Down Trend / Pattern Analysis

Deeper Analysis of Trends & Patterns

Forecasting technique that
relies primarily on historical
Description
time series data to predict
the future of a variable
Determine potential impact
Use of current trends and
patterns


A1 Do we want Content Analytics?
Administrator, 9/30/2010

Decision Support should also assist agencies to strategize
and develop implementation budgets and plans


What If

Determine Impact of Different Options

Determine the impact of
Description potential solutions based
on different alternatives
Find the best solution for a
Use specific problems by
changing variables


What If Predictive Modeling

Develop Scenarios to Select Optimal Decisions

Determine relationships
between explanatory
variables and the predicted
Description variables from past
occurrences, and develop
models to predict future
outcomes
Optimize the allocation of
specialized resources by
Use identifying the most
effective resource
deployment options


What If Predictive Modeling Planning & Budgeting

Planning and Budgeting to Support Strategies

Determine planning and
Description budgeting impact of
different solutions
Develop plans and budgets
Use to support defined
alternatives


5th Role - Integrate disparate and distributed data needed
for decision support in a central data repository


Master Data Data

Integrate


Quality Lifecycle Standards


Data Integration is one of the most complex and critical aspects
of developing and maintaining data warehouse environments

• Data Integration is a set of maturing processes,
techniques, and technologies used to extract, restructure,
move, and load data in either operational or analytic data
stores either real-time or in batch

Master Data Data

Integrate


• Data Integration can also involve Extract, Transform,
Load (ETL) processes.
• It requires that data from often multiple source
systems is extracted at certain times, checked for
quality, “re-crafted” into a form that is required for
analysis, then loaded into a data warehouse.


6th Role - Effectively manage the growing volumes of data,
and improve data quality and integrity


Master Data Data

Integrate


Privacy

GPRA Act Section 7 requires Agencies to report how they
ensure and maintain the accuracy and reliability of data
• Correct management of data is critical to accurate performance measures,
and four key component

Privacy

Data are deemed of Methods, practices, Policies, processes, and Data standards are
acceptable quality if they processes, and tools used to technologies to protect data documented representations,
correctly reflect the real- management data across its from misuse formats, and definitions of
world conditions represented lifecycle common data

The quality of the Data should be handled When data is integrated, the Common data standards
performance reporting and according to its stage in the correct handling of security have to be in place within an
metrics is directly dependent lifecycle and privacy is crucial agency as well as between
on the quality of data. agencies that share data


IBM GPRA

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