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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
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client spotlight
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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

Making "real decisions" on massive volumes of data is going to be one of the next major BI/DW challenges facing enterprises. Many of today's solutions struggle with the volume of data already available for analysis. With the wave of textual data, IT departments and BI users are going to be stressed further and must adapt to handle this increasing challenge.

Businesses must have the tools, technology, and information to enable quick and efficient adaptation to these changes. Executives must be able to:

Provide the right people with the right information at the right time
Monitor market conditions, customer preferences, future trends, and demographic shifts
Make sound business decisions based on accurate, current, and comprehensive information

Combining enterprise data warehouse, business intelligence, enterprise architecture and process integration, CIBER‘s BI/DW services can help ensure that your organization is not a victim of data quality and availability issues, and can make better decisions faster.

CIBER offers discovery, assessment, and development services in these areas:

Data Warehousing
Business Intelligence
Performance Management
BI Analytical Reporting, Visualizations and Dashboards
Data Integration
ETL
Data Quality Process and Infrastructure
Data Governance and Stewardship
Master Data Management

Business Intelligence Transforms Data into Effective and Timely Decisions

BI systems combined with data warehouse management initiatives can help transform your operational system data into an analytical system data structure that supports your business needs. This structure enables business executives to obtain a historical view of operational data, thus reducing the burden on your IT resources and enabling executives to make proactive decisions instead of reactive ones.

The people and processes that govern your data are critical ingredients for making the right decisions. Data quality and stewardship combined with the right governance model for your organization will bring the right people and processes together to ensure you are making the best decisions possible based on timely and accurate information.

Cases in Point

Major Home Improvement Retailer

CIBER helped a major home improvement retailer with a loyalty program Data Warehouse project. CIBER provided project management, requirements validation, system design, data modeling and database design, ETL (extract, transfer, load) and BI development, quality assurance, and production support services. This allowed the client to accurately identify by vendor which generic products were being sold in order to assess points and calculate chargebacks in support of a customer/vendor loyalty program. This also increased the amount of data going to the data warehouse by 30%.

Leading Florida-Based Hospitality and Entertainment Company

CIBER helped a leading hospitality and entertainment company with a Customer Relationship Management Data Warehouse. CIBER created Data Integration architecture, developed Data Governance strategies, conducted Data Modeling and database design, constructed the Data Warehouse, and developed web applications. The project linked the client with its customer base and provided new efficiencies in working with its customers, resulting in a more satisfying customer experience and increased revenue.