Information Management Flows

8/9/2019 Information Management Flows

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RFCorsello

Research

Foundation

Information ManagementBasic Activities


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Introduction

Information management covers the entire spectrum of activiti

relate to the creation, use and disposal of data

Information management encompasses most information technolo

activities

Also encompasses any activities that enable people to make use of

digital or otherwise

Information management is not constrained by technology and

is concerned with the optimizing the human benefit realized fro


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Information WorkfManaging the information infrast


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Information Workflows

There are several basic workflows in information management:

Project Planning

Data Management

Data Integration

Systems Integration


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Project Planning

Project planning includes the coordinated effort to identify whainformation is required for and produced by a project

Includes:

Matching identified data requirements to existing data repositories

Initiating efforts to create repositories for new data sets


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Data Management

Data management activities include all aspects of coordinating optimizing the collection, discovery, use, maintenance and disp

data

This includes:

Data modeling for new repositories

Business process development to select an effective methodology handling from collection to disposal


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Data Integration

Data integration is the set of all activities required to: Ensure data is discoverable

Ensure related data repositories can be queried across

In multi-organizational scenarios this may include:

Development of data sharing agreements and policies

Acquisition of software tools to integrate data repositories


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Systems Integration

Systems integration workflows include: Activities for the planning of systems development

Prioritization of potential development activities

Development of stand-alone tools

Integration of existing tools

Guiding organizational architectures


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Business WorkfGetting the business at han


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Business Workflows

Day to day business activities involve the application of Informa

Management

Following processes

Using supported technologies

Business operations will flow through similar phases of activitieas:

Business Phase Information Lifecycle Phase

Effort Initiation Creation (Planning)

Data Standardization Creation (Planning)

Data Collection Creation (Collection)

Data Processing Creation (Assessment / Ingestion)

Data Analysis Distribution and Use


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Workflow Automation

Each business phase provides an opportunity for automation

Some automation tools may be used across multiple phases

Data, tools and use are all independent yet related

Application of technology and processes to business efforts sho

designed to increase the effectiveness of the personnel and dat


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Information Flow

When depicted as an overall system, the flow of data products m From collection

Through processing

To analysis

Analysis results are a secondary form of collection


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Information Cycle

When viewed at a high-level, omitting the processes of initiatinefforts and standardizing data, the process becomes a clear cyc


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Effort Initiation

Whenever a new work effort is undertaken, the entire planning

process is within this phase

The initiation phase also considers the high-level aspects of exe

to the close out to ensure the effort produced the results expec


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Effort Initiation Example


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Data Standardization

Data standardization is a complex, ongoing set of processes involving project effoorganizational activities

Managing repositories and data models

Data standardization involves:

Definition of data collection standards

Definition of data repositories

Conformation to industry and organizational best practices and standard data models

If the organization is involved in the creation of data standards

Large efforts

Cross-organizational

Often cross-domain


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Data Standardization Example


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Data Collection

The process of collecting data via any means is the data collectiphase of the effort

Some data collections will transcend individual efforts

Data collection activities will likely involve multiple physical locatio

and techniques

Phase processes are loosely defined to support flexibility in the

Emphasis is on planning of data collection and the handling of data

collected


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Data Collection Example

Data collection standards are provided to the effort manageme

team, which enables effort initiation


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Data Processing

The data processing phase includes the process of assuring data is

collected:

According to defined standards

Is of sufficient quality

This phase handles the entire set of processes to take raw collected

Through the QA/QC process

Perform any actions upon the data to prepare it for loading

Loading or transfer of accepted data into any and all final production

repositories


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Data Processing Example


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Data Analysis

The use of data is the data analysis phase

The data analysis phase includes all uses of data:

Simple visualization

Report generation

Numerical analysis

Modeling and simulation

Creation of data inventory (catalog) entries relating created pro

to source data may also be included in this phase


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Data Analysis Example


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Conclusions Information management is a complex set of activities focused on maximizing data investments

These activities primarily serve to enhance peoples experiences interacting with information

Successful information management addresses data from a human perspective

Provides cost savings to an organization by ensuring data is used effectively

The application of technology should increase the effectiveness of the organization

The consideration of effectiveness should apply to both human activities and operational costs

Redundant data collection is a significant cost in both monetary and human labor

The application of technology should result in a net reduction in labor or cost

Effective application of technologies enables us to do more with less

Automation technology is an ongoing effort that is best initiated in-house

As a specific development effort becomes too large, it should then be contracted

Integration of technologies to current and planned infrastructures should be a pre-requisite

Commercial off the shelf applications should be considered based upon their ability to be integrated into the organizainfrastructure


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Quest

Information Management Flows

Documents

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