Introduction – Who is Teksouth? The Teksouth Corporation is a Small Business (with approximately 135 employees across the US) with 25 years of experience providing cutting-edge data solutions to both corporate and government clients. Teksouth has focused on providing Data Warehouse / BI solutions that support both Logistics and Financial operations. Teksouth has deployed the DoD’s single most successful comprehensive Data Warehouse / BI solution – CRIS. This was done at a fraction of the cost of all contemporary solutions. We are Systems Integrators.

The Teksouth Corporation is a Small Business (with approximately 135 employees across the US) with 25 years of experience providing cutting-edge data solutions to both corporate and government clients.

Teksouth has focused on providing Data Warehouse / BI solutions that support both Logistics and Financial operations.

Teksouth has deployed the DoD’s single most successful comprehensive Data Warehouse / BI solution – CRIS. This was done at a fraction of the cost of all contemporary solutions. We are Systems Integrators.

Teksouth Corporation Locations Teksouth is Headquartered in Birmingham, AL

Teksouth Corporation Partners Microsoft Corporation Cognos / IBM Semantech Inc. Teradata LogiXML Centech CSC Sumaria Systems Sun Microsystems Accenture

Microsoft Corporation

Cognos / IBM

Semantech Inc.

Teradata

LogiXML

Centech

CSC

Sumaria Systems

Sun Microsystems

Accenture

Teksouth Corporation Clients Federal Department of Defense Financial Manufacturing

The “TEC” & Innovation At Teksouth, Innovation is not a mandate, it’s our passion…

What is the TEC ? Teksouth Corporation’s Enterprise Consulting (TEC) group is a professional services organization whose primary focus is delivering comprehensive next generation DW / BI solutions using Teksouth’s Accelerator methodology. We refer to this comprehensive solution as The “Dynamic Data Warehouse” or “DDW.” The TEC is chartered to update and infuse Teksouth’s Solutions with leading edge technologies and techniques. The DDW is an excellent example, we are currently working to support complex SOA capabilities and Semantic Interoperability using the i-TEC methodology.

Teksouth Corporation’s Enterprise Consulting (TEC) group is a professional services organization whose primary focus is delivering comprehensive next generation DW / BI solutions using Teksouth’s Accelerator methodology.

We refer to this comprehensive solution as The “Dynamic Data Warehouse” or “DDW.”

The TEC is chartered to update and infuse Teksouth’s Solutions with leading edge technologies and techniques. The DDW is an excellent example, we are currently working to support complex SOA capabilities and Semantic Interoperability using the i-TEC methodology.

Introduction – Analytics at a Standstill The Data Warehouse, Business Analytics industry has made little real progress over the past five years. According to DM Review (July 2008): The size of most Data Warehouses have not significantly increased in the past several years. The mean average of enterprise employees with BI licenses / seats is only 8.7%. Most enterprises Do Not deploy BI capability to the entire organization. (weak value proposition) Support and performance ratings for larger vendors (the industry leaders) is generally fairly poor.

The Data Warehouse, Business Analytics industry has made little real progress over the past five years. According to DM Review (July 2008):

The size of most Data Warehouses have not significantly increased in the past several years.

The mean average of enterprise employees with BI licenses / seats is only 8.7%.

Most enterprises Do Not deploy BI capability to the entire organization. (weak value proposition)

Support and performance ratings for larger vendors (the industry leaders) is generally fairly poor.

Actionable Data is Relevant Data The Data Warehouse in most cases has lost touch with its users. Data stored & purified is quite probably data not being used. The end user needs actionable data.

Why the DW Industry is Stalled There are a number of reasons why the Data Warehouse / BI industry is stalled, they include but are not limited to: The cost of most DW / BI solutions has proven to be unpredictable and inaccessible for many. The performance of many DW / BI solutions is often slower than anticipated. The ability to scale or evolve a DW / BI solution usually proves daunting as well. The ability to rapidly deploy and easily maintain a comprehensive solution economically is rare. In many cases, the data solutions designs inherent within the technology limit the applicability.

There are a number of reasons why the Data Warehouse / BI industry is stalled, they include but are not limited to:

The cost of most DW / BI solutions has proven to be unpredictable and inaccessible for many.

The performance of many DW / BI solutions is often slower than anticipated. The ability to scale or evolve a DW / BI solution usually proves daunting as well.

The ability to rapidly deploy and easily maintain a comprehensive solution economically is rare.

In many cases, the data solutions designs inherent within the technology limit the applicability.

New Ideas Begin with Principles…

Other Problems with DW / BI The sheer complexity of the data layer in many larger enterprises has led to compartmentalized management of elements of that layer. In other words, “Stovepipes.” These stovepipes are often associated with specific vendor products or capabilities that are “sub-optimized” and not concerned with holistic efficiencies. Many DW / BI solutions are not user-centric – users often have little input in terms of deciding capabilities or determining data quality when it counts. Most DW / BI are either monolithic and inflexible or distributed w/o the ability to integrate the specialized stores or data marts.

The sheer complexity of the data layer in many larger enterprises has led to compartmentalized management of elements of that layer. In other words, “Stovepipes.”

These stovepipes are often associated with specific vendor products or capabilities that are “sub-optimized” and not concerned with holistic efficiencies.

Many DW / BI solutions are not user-centric – users often have little input in terms of deciding capabilities or determining data quality when it counts.

Most DW / BI are either monolithic and inflexible or distributed w/o the ability to integrate the specialized stores or data marts.

Introducing – The Dynamic Data Warehouse To correct the issues with today’s analytics, we decided to challenge convention and reinvent the solution. The Dynamic Data Warehouse - DDW is comprehensive and presents the entire data layer architecture within one measurable, consistent and economical solution. It is engineered for performance, guided by end-user input and designed to allow for dynamic, scalable growth.

To correct the issues with today’s analytics, we decided to challenge convention and reinvent the solution.

The Dynamic Data Warehouse - DDW is comprehensive and presents the entire data layer architecture within one measurable, consistent and economical solution.

It is engineered for performance, guided by end-user input and designed to allow for dynamic, scalable growth.

Why is The DDW Dynamic ? It’s FAST . Fast to deploy, fast in delivering query responses, fast to scale and fast to update. FAST is good. It is entirely based on a user-centric premise; the notion that the most powerful application of any data system is its ability to support “Dynamic Discovery.” Dynamic Discovery is the combination of user developed canned queries as well as ad hoc querying capability. This principle of course extends to any data source capable of being targeted by the DDW. The ability to change, add to or integrate data effectively. This implies a Federated or “Cloud” model, the schema itself is flexible, adaptable and evolutionary in nature.

It’s FAST . Fast to deploy, fast in delivering query responses, fast to scale and fast to update. FAST is good.

It is entirely based on a user-centric premise; the notion that the most powerful application of any data system is its ability to support “Dynamic Discovery.”

Dynamic Discovery is the combination of user developed canned queries as well as ad hoc querying capability. This principle of course extends to any data source capable of being targeted by the DDW.

The ability to change, add to or integrate data effectively. This implies a Federated or “Cloud” model, the schema itself is flexible, adaptable and evolutionary in nature.

Why The DDW Works, Why it Scales Our solution is built upon standards. We don’t employ propriety hardware or file systems (like DW appliance solutions or Teradata). The solutions are built using the most common DBMS platforms and can employ any hardware. New hardware can be added at any time to increase capacity or throughput. Our solution integrates with any and all Business Intelligence platforms and has its own BI capabilities as well. It can adjust to any existing enterprise environment. The DDW is a fixed priced solution, even though it is not COTS, we deliver it on time and on schedule at a guaranteed cost. This incentive ensures efficiency.

Our solution is built upon standards. We don’t employ propriety hardware or file systems (like DW appliance solutions or Teradata). The solutions are built using the most common DBMS platforms and can employ any hardware. New hardware can be added at any time to increase capacity or throughput.

Our solution integrates with any and all Business Intelligence platforms and has its own BI capabilities as well. It can adjust to any existing enterprise environment.

The DDW is a fixed priced solution, even though it is not COTS, we deliver it on time and on schedule at a guaranteed cost. This incentive ensures efficiency.

The DDW Evolutionary Path The history of data architecture can be charted through its ‘perspectives.’ Traditionally those perspectives have been managed as separate structures…

DDW User Exploitation Perspective

DDW Data Optimization Perspective

DDW Data Source Perspective Federation of data sources allows for Agile expansion of the DDW. It also allows end users to control & govern the data that matters most to them…

A Real-Life Scenario, Part 1: CRIS Subject: A global enterprise, comprised of multiple semi-autonomous divisions; The United States Air Force. Problem: Manage an operating budget of nearly $40 billion affecting the programs, administration and combat operations of personnel and facilities worldwide. Not only is the amount staggering, but consider that these dollars support more than 400,000 civilian, military and contractor employees working around the clock in more than 100 global locations. The need was immediate – capability was expected within a year.

A Real-Life Scenario, Part 2: CRIS Who are the Users ? Air Force leadership (directly and indirectly dependent). Air Force financial management analysts, (10,000+). Dispersed across nearly every USAF installation and Major Command. Dependent on several dozen existing legacy systems to conduct the process – no capability to fuse data or coordinate workflow. Under tremendous pressure to develop most of their work in the last months before the end of each fiscal year. Under pressure to improve accountability for DoD spending of taxpayer dollars and to support conflicts worldwide…

Who are the Users ?

Air Force leadership (directly and indirectly dependent).

Air Force financial management analysts, (10,000+).

Dispersed across nearly every USAF installation and Major Command.

Dependent on several dozen existing legacy systems to conduct the process – no capability to fuse data or coordinate workflow.

Under tremendous pressure to develop most of their work in the last months before the end of each fiscal year.

Under pressure to improve accountability for DoD spending of taxpayer dollars and to support conflicts worldwide…

A Real-Life Scenario, Part 3: CRIS The Architectural Challenge U.S. Air Force needed to integrate financial data from disparate systems, and provide geographically dispersed financial managers with the tools to manage day-to-day operations. Senior leaders at all levels required a real-time snapshot Financial data management system capable of scaling initially from a few hundred users to more than 15,000 users The System had to be operational 24/7 in every time zone worldwide. System users at all levels needed instant access in order to make timely decisions. With limited resources, the USAF needed to keep development & deployment costs for any solution to an absolute minimum.

The Architectural Challenge

U.S. Air Force needed to integrate financial data from disparate systems, and provide geographically dispersed financial managers with the tools to manage day-to-day operations.

Senior leaders at all levels required a real-time snapshot

Financial data management system capable of scaling initially from a few hundred users to more than 15,000 users

The System had to be operational 24/7 in every time zone worldwide.

System users at all levels needed instant access in order to make timely decisions.

With limited resources, the USAF needed to keep development & deployment costs for any solution to an absolute minimum.

A Real-Life Scenario, Part 4: CRIS Realization – Only an DDW would work… CRIS would push the limits of typical data warehousing solutions. Users needed ad-hoc control of their queries. A few canned, stock reports would be insufficient. The system’s security model required unprecedented access controls since it dealt with highly sensitive financial data. Data had to be available for analysis within minutes to worldwide users, and the system required scalability without information flow disruption.

Realization – Only an DDW would work…

CRIS would push the limits of typical data warehousing solutions.

Users needed ad-hoc control of their queries. A few canned, stock reports would be insufficient.

The system’s security model required unprecedented access controls since it dealt with highly sensitive financial data.

Data had to be available for analysis within minutes to worldwide users, and the system required scalability without information flow disruption.

A Real-Life Scenario, Part 5: CRIS How does this exploit Data Federation ? The solution allows for the continued operation of legacy authoritative systems while they are being replaced / modernized / migrated to the AF ERP solutions (DEAMS & ECSS). This represents federated source data. The solution deploys a layer of federated data and metadata for optimization in a centralized location – thus mirroring the source environment without performance constraints of directly sourcing data from the BI layer. True federation occurs at a minimum of three tiers as the solution interacts with domain data from across the USAF, this represents “logical integration.”

A Real-Life Scenario, Part 6: CRIS CRIS & The Dynamic Data Warehouse Averaging more than 600,000+ ad hoc queries per month 3 TB - will double over the next 3 years 2 Billion+ rows of data 15,000+ users world-wide 8.29M queries in FY06 – 95% ad hoc 1.2M queries in September ’06 Ad hoc results: 80% in 10 seconds or less 99.7% up time, “follow the sun” globally

CRIS & The Dynamic Data Warehouse

Averaging more than 600,000+ ad hoc queries per month

3 TB - will double over the next 3 years

2 Billion+ rows of data

15,000+ users world-wide

8.29M queries in FY06 – 95% ad hoc

1.2M queries in September ’06

Ad hoc results: 80% in 10 seconds or less

99.7% up time, “follow the sun” globally

CRIS Performance

SOA & The Data Dilemma SOA without an effective data layer solution will only perpetuate existing IT problems. The DDW gives SOA frameworks the ability to consolidate data access, ensuring efficiency.

What is Data Governance, Really ?

DDW & Data Modeling

Teksouth Contact Information Thank You… For more information, contact: Ken Craig [email_address] Or Brad Marshall [email_address] (800) 842-1470 (205) 631-1500