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Business Intelligence (212KB)

Business Intelligence for Higher Education (306KB)

Business Intelligence Strategy and Roadmap (414KB)

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Balanced Business Intelligence: A Capability Approach to BI Program Alignment
This White Paper explores a method for assessing and planning for a well balanced business intelligence program that focuses on your organization’s distinctive culture. From dynamic to disciplined, it takes into consideration the unique circumstances of the organization’s life cycle, delivery and ability of business intelligence from a capability perspective rather than a maturity perspective. The balance of both efficiency and effectiveness is explored to enable a well rounded intelligence program in any organization.

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Lean Principles and IT Demand Management
IT spending level is typically based on historical or competitive benchmark levels. Given the current global economic climate many IT organizations face frozen budgets and cost-cutting efforts and this puts a squeeze on many innovative initiatives in the backlog. The only way for folks to get more done for less will be to plan and prioritize the IT portfolio based on strategic fit, business value, risk, and complexity.

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Ensuring & Maintaining Data Quality: Data Quality for Data in Motion & Data at Rest
Businesses that apply mature Information Technology processes understand “Data Quality as the foundation of Business Intelligence”, and therefore are aware of data quality problems. At the same time, there is a common misconception that data quality is expensive and is not required through early maturity stages. However, this has the opposite effect of accumulating bad data in the operational data stores and data warehouses, which then requires a huge effort to fix. This whitepaper, useful for data stewards, enterprise architects, project managers, and IT executives, examines how the data quality problems arise even in the most controlled environments and the measures to be taken to ensure and maintain data quality in operational and data warehousing systems.

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Master Data Management: Managing Data as an Asset
With an increase in the pace of business, organizations have already built up Business Intelligence systems to aid efficient decision-making. Globalization and mergers and acquisitions have served as catalysts for organizations to realize the criticality of data and data integration. With this background, many organizations have begun to treat data as one of their key assets. This white paper explains how core business entities known as master data can be considered organizational assets and how to manage these entities holistically.

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The What’s and How’s of ETL Architecture
This paper is basically a high level description of a highly technical subject - Extract, Transform, Load (ETL) Architecture. It is written for IT management and professionals to address and explain an area which often has been overlooked.

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Organizational Alignment: Empowering The Business
The term Organizational Alignment brings to mind many different interpretations when spoken of in the context of an Information Technology (IT) organization. When applied to an organization as a whole, it addresses consistency of purpose and activity throughout the organization as a means to achieve organizational objectives. A similar context is true with respect to an IT organization except that an IT organization typically supports multiple parts of the organization, each of which each have their own strategies woven into a cohesive organizational strategy. When Organizational Alignment principles are applied within IT disciplines, resources create and deliver sustainable business value enabling business units to achieve their objectives.

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Business Intelligence Best Practices: Transforming Data into Information
The introduction of information technology systems decades ago helped organizations worldwide benefit from more efficient operations and greater productivity. Over the years, companies have acquired volumes of data in these applications, but much of this data is trapped in multiple, disparate systems which cannot easily communicate. As a result, firms must expend considerable effort to tap into the full potential of these data assets to strategically maneuver the business in a rapidly changing and competitive marketplace. The latest evolution in IT is “business intelligence,” which promises to help businesses better tap into and leverage their data assets. But what, exactly, is BI? How can it help? How is it implemented? And what can it do for your company? Essentially a primer on BI, this paper describes BI, how it can help you, and best practices to consider when launching or refining a business intelligence initiative.

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Enterprise Information Management in the Real World: Strategies for Success
Enterprise Information Management—or EIM—encompasses several important contemporary business concepts: Business Intelligence, Data Governance, Data Warehousing …

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Make Your Data Shine: Protect Your Company’s Image by Maintaining Good Quality Data
This article by Joyce Norris-Montanari, appeared in Teradata Magazine in September 2008

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21 Feb 2011
CIBER Promotes Business of Healthcare Organizations;
Read the press release | Take the PDF (25KB)

06 Oct 2009
CIBER Adds to SAP Partner Credentials By Providng SAP® BusinessObjects™ Solutions
Read the press release | Take the PDF (25KB)

client spotlight
case studies
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CIBER has completed the redesign and redevelopment of the first of three hospital patient flow and capacity management applications for Pittsburgh-based TeleTracking Technologies.

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American Red Cross
CIBER's Implements Distributed Client-Server Technology to ARC Sites Nationwide
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International Theme Park
CIBER Helps Architect State-of-the-Art CRM Infrastructure for an International Theme Park
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“Ohio University is partnering with CIBER to significantly change how technology aids in the delivery of services to students and faculty. CIBER’s expertise with complex Higher Education projects made them well equipped to assist us with this extensive transformation.”

Brice Bible — Chief Information Officer , Ohio University

Enterprise Integration & IT Strategy blog

Business Architecture 101 : Value Streams vs. Value Chains
posted: 11 October 2011 by Allan Shub

Business Architecture 101
posted: 27 September 2011 by Allan Shub

See more articles in the Enterprise Integration & IT Strategy blog

Data Governance

Companies integrating their disparate IT systems via enterprise integration or service-oriented architecture are discovering an unforeseen issue: poor data management.

Poor data management is sometimes called a lack of a “single source of the truth.” Of your various IT systems, which one’s data is “the truth”?

Consider also that regulations such as HIPAA and Sarbanes-Oxley require greater corporate data accountability and transparency, but compliance is difficult if data varies from IT system to IT system.

Data is the foundation from which all business decisions are built. If your data is unreliable…well, your business is only as good as its data.

Data Information Knowledge Wisdom

A successful data governance program offers a way to manage corporate data, providing a reliable, accurate, trustworthy, single source of the truth—a solid, reliable foundation for making business decisions.

Data governance can also help your business streamline business-to-business processes, avoid unnecessary capital costs, and improve revenue assurance.

Business Needs, Not Technology, Should Drive Data Management

“The task of a leader is to take people from where they are to where they have not been.”
— Henry Kissinger.

With more than 30 years experience helping businesses and government entities build, integrate, and support their mission-critical applications in a variety of industries, CIBER has the technological and business experience to guide your successful data management initiative.

CIBER uses a business-focused, best practices-driven approach to data governance. We realize that your organization’s needs are unique, so we work closely with you to tailor a program that helps you most efficiently achieve your business goals. While each program differs slightly based on client needs, our data governance program offers these services:

Data Governance Charter
CIBER works with you to determine your goals and objectives for the data governance program. We create a charter to identify the purpose, desired results, and processes involved in the initiative.
Data Governance Framework
CIBER works with you to evaluate how a data governance program will best fit into your organization and to determine roles and responsibilities. We conduct a readiness assessment, including a best practices assessment, gap analysis, business review, and technology review.
Proof Of Concept
Based on the information gleaned from the framework, CIBER builds a “roadmap,” which outlines the specific steps your organization must take to begin a data governance program and successfully nurture it to maturity.
Execution of Roadmap
CIBER executes the steps of the roadmap, while guiding and training your team to take over the data governance process and nurture its future growth and success.
Data Governance Program Assessment
If your firm has already begun a data governance program but is unsatisfied with its progress or benefits, CIBER can help. We will assess the program to determine where you are in the process and what has been done. We’ll conduct a gap analysis to identify areas that still need to be addressed. We will evaluate best practices and recommend actions to get your data governance program back on track.

CIBER’s enterprise integration, business intelligence, and data governance experts can help your organization achieve its business objectives through the efficient application of data governance principles. For more information, please contact us!

“There are risks and costs to a program of action. But they are far less than the long-range risks and costs of comfortable inaction.”
— John F. Kennedy.