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Increasing Operational Efficiency using Profit Analysis

August 6th, 2010

Background

In this case study you would see how a leading wholesale drug distribution company achieved improved operational efficiency through Systech’s innovative and cost effective solution and analysis.

The client had to consolidate data from multiple transactional systems into a single enterprise data warehouse. The data consolidation would provide a single view across the entire enterprise and permit Integrated Reporting, Analysis and Decision-making, across the organization. This would provide a single Customer view/definition across the enterprise – eliminating the disconnect in processes such as sales, fulfillment and customer service & satisfaction.

The Challenge in the Details

The client had disparate source systems and multiple decision support systems where data could not be merged or consolidated. These data sources/elements did not map to the definitions in the financial systems either. They were able to generate reports at an invoice level and the reports were taking exceedingly long execution times. The challenges for Systech were:

  • To build a single repository for information – integrating data from the disparate systems.
  • To design a cost effective solution utilizing the existing hardware and software.
  • To deliver within the extremely tight timelines defined by the customer(s).
  • To enable flexible & detailed data analysis.
  • To implement the front-end application such that it could support existing requirements and possible future developments.
  • To provide visibility and insights into costs, revenues, capacity and assets, providing insight into past, present and future information.
  • To measure historical performance, profits of incoming orders, initiate trend analysis, predict and optimize costs, profit, capacity; for return on invested capital of your future business.
  • To ensure the delivery of undeniably accurate, actionable and widely accessible cost (direct and indirect), resource and capacity information enabling the client to operate more efficiently and in turn reduce cost.

The Solution

At the very beginning, it was determined that the sheer size of the workload combined with the complexity of the organizational and data issues would require a project team with strong leadership & high level executive sponsorship from the client. The tight schedule and budget constraints worked against the traditional approach of organizing a big onsite project team with the resources necessary to accomplish those goals.

Systech team decided to split the project into manageable parts – each of which would be tackled by a small team split into an On-site project lead and an Off-site project team. The Onsite-Offshore teams adopted a fast, responsive and iterative approach to fashion a solution for their part of the puzzle. Iterations of model-build-test-fix-retest resulted in a better componentized build for the Data Warehouse.

Systech teams worked in collaboration with the client to engage, understand the business requirements, craft the technical components and deliver a cost effective analysis for key business areas including:

  • CUSTOMER
    • Customer & Channel Profitability
    • Segmentation profitability
    • Sales Optimization
    • Strategic Cross-Sell
  • OPERATIONS
    • Distribution Optimization
    • Reducing Operating Expenses
    • Reengineering & Process Redesign
    • Supply Chain Measurement and Optimization
    • Resource & Capacity Planning & Utilization
  • PRODUCT
    • Product Profitability
    • Line of Business/Segment
    • SKU Rationalization
    • Brand Analysis
  • CORPORATE
    • Corporate Performance Management
    • Business Process Measurement & Analysis
    • Optimized Return on Capital
    • Continuous Improvement Monitoring

Result

  • The solution delivered by Systech not only addressed the pain areas but also provided additional benefits to the client.
  • Datawarehouse delivered to the client resulted in improved process efficiencies, faster query response times, reduced data load windows, a flexible data model to permit a wide range of analysis.
  • Systech’s solution empowered decision makers by allowing them to drill down into their data for detailed analysis.
  • Additional types of analysis facilitated by the solution include profitability analysis based on segment, insight into wholesale acquisition cost and better insights of the historical data.
  • Forecasting was a key functionality in the delivered solution. This function provided the scoring and tracking tools for business operations.
  • Systech helped pinpoint client’s unprofitable products, customers and vendors that might require renegotiation, re-pricing or obsolescence
  • Systech’s solution identified profitable products and customers and helped identify opportunities for profit improvement

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Effective Change Management

July 1st, 2010

Controlled Change Management goes through multiple steps. It adheres to each step in close detail each time a change is made and forms the critical success factor for effective Change Management. A Change can be anything from renaming a report to upgrade of all the involved systems to the next reliable version of software and hardware.

An effective Change management is to create a solid process that reduces an overhead while still gives you the results you need to meet your compliance and business goals versus a cumbersome, inefficient process that weighs heavily on your resources.

This report educates management and IT on the best practices to Plan, Design and Develop, Quality check, Implement and Close the “change”.

Register here to request the white paper.

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Collaboration is the Key: Solutions for the Supply Chain

May 27th, 2010

A primer on collaborative strategies and technology solutions in Supply Chain Management

Supply Chain solutions are becoming increasingly popular in the recent trend of cost-cutting and corporate optimization.  Across the board, organizations are rushing to implement supply chain management solutions, but what options exist, and what conditions make the difference between incredible efficiencies and unnecessary expenditures? First of all, it may be worthwhile to understand the solution that an organization seeks for its supply chain.

Supply chains exist in every organization and therefore, any solution that is being contemplated should only increase the efficiencies in the supply chain.

To begin with, there are three key areas that need to be understood:

  1. Business Partners in the supply chain
    1. Who are they?
    2. What role do they play in the overall chain?
    3. What is the value that they provide?
    4. What level of cooperation can I get from them in improving efficiencies in my supply chain?
  2. Business Process for the supply chain
    1. What are the inefficiencies in my current business process?
    2. What opportunities do I have to remove these inefficiencies?
    3. Where do I need cooperation from my business partners?
    4. What bargaining power do I have to demand this cooperation?
  3. Application of Technology
    1. How can I best leverage commonly available technology to improve by business process?
    2. What applications should I use?
    3. Do I make or buy these applications?

Business Partners in the Supply Chain

Increasingly organizations have started involving all the business partners in crafting a coordinated supply chain solution. The Collaborative Planning, Forecasting and Replenishment (CPFR) initiative of the Voluntary Inter industry Commerce Standards (VICS) is a case in point. CPFR outlines processes, guidelines and standards for member organizations (also the business partners) that can reduce the complexity of the collaboration.

 Business Process for the Supply Chain

 True supply chain management invariably involves the business processes of diverse business partners. Without commonly understood and adopted business process, any supply chain will fall apart. But to ensure that the business process is uniformly adopted across the supply chain, business partners need to understand the value they will derive in adopting a unified business process.

In many instances, what appears to be a process optimization for one organization may not have an optimizing effect when the entire supply chain is considered. An illustration of this is the improper adoption of Just in Time (JIT) inventory. Some organizations approached JIT by asking suppliers to carry and deliver the inventory as and when needed. This seemed to reduce inventory for these organizations but quickly it became evident that inventory remained a problem, as did the carrying costs associated with it, when you consider the entire supply chain.  Just In Time cost methodologies have proven to be a hopelessly vicious cycle: costs shifted to partners within the supply chain were passed back to the organizations with increased product cost.

 Collaborative planning would mean that all business partners work together, share information and plan each others requirements so that the supply chain is indeed, truly optimized.   For example retailers are now willing to part with POS (Point of Sale) information to their suppliers who can then use it to better understand customer buying patterns and trends. This then leads to better planning on part of the supplier and higher turnover of inventory for the retailer, because the right goods are stocked at the right time.

 Application of Technology

 Any modification to the business process to optimize the supply chain should keep in mind the technology that is currently available. In many instances, tremendous efficiencies can be achieved by merely introducing a new technology to the supply chain, without modifying the business process. In other instances, business process engineers have to work in collaboration with Technologists to understand how commonly available technology can be craftily incorporated into business process to derive competitive advantage. In some other cases, one may have to adopt existing applications, simply because they have become industry standards.

The Role of Technology in Supply Chain Optimization

 There are no universal solutions/applications available off-the-shelf that can manage your supply chain. In almost all the cases, it is a combination of applications that help manage the supply chain. Some of the commonly available applications that are used to manage the supply chain are:

  1. Enterprise Resource Planning (ERP) Systems: These are designed to centralize all transactions through one core application.  This helps to manage operations and to ensure that there is a 360-degree view of the organization.
  2. Demand Planning Solutions: Designed specifically to forecast demand in advance for production/purchasing departments to plan their activities. Work in conjunction with Business Intelligence solutions and feed forecast/planning information to ERP Systems.
  3. Business Intelligence Solutions: Facilitate informed decision-making by providing analysis of current and historical information. Provide input for all departments of the business.
  4. Customer Relationship Management (CRM) Systems: Provide a 360-degree view of the customer by capturing all client interactions such as products sold, support provided and customer enquiries. This ensures that the customer gets consistent service from the organization. Feeds into CRM Analytics solution and BI Solutions.
  5. CRM Analytics Solutions: Helps in understanding customer interactions and consumer behavior. Provide inputs for marketing to understand customer segments and product preferences, which then influences demand planning.
  6. Global Distribution Systems: Helps in management and movement of goods and services. A key to ensuring customer satisfaction while helping improve and plan sales and distribution activities.
  7. E-Procurement Solutions: Aids in the search for procurement of goods and services. Organizations spend significant amount of resources on procuring direct and indirect materials.  These sourcing and vendor selection issues can be substantially reduced by putting in place a right e-procurement solution.

 As we can see, Supply Chain Solution is not an off-the-shelf product. It is a coordinated consolidation of various applications and solutions that have been seamlessly integrated to perform a variety of functions across the supply chain.

Approaching Supply Chain Optimization

Decision making for better supply chain management is inescapable, no matter how good a technology solution one might have. There are strategic as well as operational decisions to be made for the supply chain. Strategic decisions have an impact in the long term and invariably involve changes to the business process. Operational decisions are more immediate and have an impact on day-to-day operations with little impact on business processes.

 To effectively solve the supply chain optimization issues, an overall strategy needs to be developed.  Involving technology solution providers can be of immense help, since they can bring in their knowledge of currently available technology and its application to business processes.

Typically, the entire strategy cannot be implemented at the same time due to resource limitations and organizational impact.  Therefore, opportunities for improvement need to be ranked based on relative contribution to supply chain efficiency and effort required.  This will provide the road map for implementing the various components for improvement.

 The best place to start would obviously be the area that is most fundamental to the business and will provide the maximum impact to business value. Other solutions can be built around this base solution. Even so, it is important to understand the business partners in the upstream and downstream of the supply chain, and collaborate with them in developing and implementing the solution.

Conclusion

 To summarize, Supply Chain Management solutions involve:

  1. All Business partners in the supply chain
  2. Business processes in the complete supply chain rather than just the individual organization
  3. A combination of various technology solutions that are seamlessly integrated to provide complete visibility to the supply chain

 The starting point for implementing Supply Chain Solutions is to develop a high-level strategy that will provide the roadmap for the organization. This should be developed in collaboration with all of the business partners involved in the supply chain. Business areas with the greatest potential for return on investment should be targeted for implementing the appropriate solutions. 

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Data Mart Development and Reporting

March 31st, 2010

Background

Falken Tire is a brand of tires by Japanese Sumitomo Rubber Industries with branches across Asia, America and Europe. Their first tire was produced in 1983 and it wasn’t until two years later that they began exporting their tires outside Japan and entered the US market only in 1990.

As the organization grew, so did the need for accurate and immediate information. The company lacked an effective way to consolidate, manage and distribute business data. Data resided in many different sources and in different formats, limiting its ability to analyze and deliver it within a single platform. To evaluate performance in the market, Falken Tire compared their Sales data with the Market data. Falken Tire wanted to perform Market Share Analysis and also forecast demand. However, they were faced with complications involving multi-source data analysis.

These issues needed to be addressed by Systech Solutions, Inc.

Challenges

Diversity of sources:

The fundamental problem that Falken Tire faced was that their data was stored in different places. The Sales data was in the Operation System, Objective data was in a flat file and Market data was in an SQL database. It was not only time consuming to create a report but also not flexible to do further analysis.

Tracking and forecasting:

Traditionally, Falken Tire could not track or forecast actual sales. Therefore, it was essential to configure a reporting tool to access information in the data mart with ease. They needed to get a deeper insight into their key sales performance to better forecast the market.

Solution

After studying the data from different sources, Systech came up with a model of how the information fit together. To enable this, the development team needed to understand the existing information and find the correlated pieces. Systech’s development team then created a common format for the data mart in a SQL Server 2005 database. Later, Informatica was decided on as the most appropriate ETL platform for this BI implementation at Falken Tire. The ETL platform was configured to support reporting and complex data analysis with maximum efficiency. It was also structured to provide enough flexibility to accommodate future trade volume and business growth.
Subsequently, MicroStrategy was configured to access information in the data mart to deliver customer friendly reports, templates and dashboards.

Result

Centralized data in BI data mart:

  • Users could easily access the data. Also allowed them to compare Falken Tire sales with their competitor and do market analysis.
  • The robust architecture of the new ETL platform provided flexibility and scalability.
  • The new ETL process fetched data to reports based on real time which was impossible earlier.

 Empowered to report and analyze data to make improved decisions:

  • The new and improved dashboard consisted of multiple parameters/metrics that helped track all Key Performance Indicators in Sales and Inventory.
  • The dashboard enabled Falken Tire to view the performance of the company based on their objectives.
  • It helped create a Daily Sales Report for the previous working day and also helped to view Sales by drilling down to the zip level of the state.
  • The solution enabled business users to drill into the key trends to do an online analysis with just a click without coming back to the developer asking for a separate report.
  • The reporting tool automated the comparative market share analysis of the Sales. This process which was a multi-step process earlier was now an automated process.
  • They could report sales figures, forecast projection, estimate competitive sales and gauge the state of business.
  • Based on the forecasting demand they could manage the inventory.

 The Systech team thus helped the end users view critical performance information in a matter of seconds and quickly make decisions that seek to optimize market share.

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Systech & BI Insight at MicroStrategy World 2010

February 23rd, 2010

MicroStrategy’s 13th annual user conference 2010 kicked off with a bang at Las Vegas this year. MicroStrategy World has always presented us a great opportunity to spend time with our customers and partners to catch up and plan for the upcoming year, and this year was no different! There was record attendance of more than 1,500 customers and partners attending, signifying the beginning of what is looking to be a very strong year for BI.

Systech has been a regular at the MicroStrategy World for the past several years. This year we were a silver sponsor for the event. We were delighted to be on the exhibit floor along with our partner Pi Solutions to present our success strategies and experiences using BI to enhance business performance. Some of the exciting new attractions on this year’s Systech exhibit floor featured unique presentations and demonstrations highlighting “Discover the power of Analytics” solutions for various industries. Not only was our solution well received by our client base but was extremely well received by the audience who were exposed to Systech’s BI for the first time. At the event, we got a chance to re-connect with Systech alumni and it was gratifying to see them cheering and celebrating our success. Krish Lakshmi Narayan, summarized the sentiment when he said that it was great to see Systech’s growth in BI and the level of participation at the conference. Several Alumni also brought their entire team over to our booth and introduced Systech as the company which trained them of their BI expertise.

Adhering to their tradition, MicroStrategy world started off with a dashing performance – this year by Gwen Stefani (Or maybe a look alike…hey you never know in Las Vegas!)! The general session generated tons of energy and excitement – it included Sanju Bansal’s welcome, Mike Saylor’s keynote on Mobile Intelligence, Mark LaRow’s keynote on the Micro Strategy Technology Strategy, and Micro strategy customer panel.

The highlight was definitely the keynote from Mike Saylor, CEO, MicroStrategy. Mike declared in his keynote, “We are on the verge of a new era that will result in a new class of applications that will change the way we think about our business.” Saylor made the most compelling speech of why mobile may revolutionize BI. Saylor said, “Computing is entering its fifth generation in which desktop Internet applications are giving way to a new generation of Mobile Internet applications. In the Mobile Internet age, applications which were mildly successful when used at one’s desk suddenly become incredibly effective and valuable when consumed on the go, anywhere and anytime business is being conducted. A Mobile information access will likely eclipse desktop information access in the near future. This heightened level of usage, combined with the richness of the mobile interface, will change the way information is consumed and MicroStrategy intends to be at the forefront of this wave. MicroStrategy 9 is designed to outperform competitive BI architectures, and is well-suited to provide intelligence in the age of the Mobile Internet. Our goal is to enable our customers to deliver Mobile Intelligence ahead of their competition to their employees, their suppliers, and their customers.”

Mark LaRow’s keynote focused on the strategy and the launch of MicroStrategy 9 release 2. MicroStrategy boasted its in-memory solution last year in MicroStrategy 9. With MicroStrategy 9 Release 2, they have improved its cache load times, query processing times, and memory consumption. VP of Marketing Mark LaRow claimed that cubes consume 70% less memory in the latest release, making an already scalable solution more so. With the upgrade to 64-bit BI, empowered business people to conduct analysis quicker, leverage more BI functionality, and to create their own reports without IT help.

The event featured more than 100 educational sessions, and an update on MicroStrategy’s latest technology advances. MicroStrategy outlined their technology advancements and strategy to emphasize the important impact of advancements: speed of thought performance, mobile intelligence, enabling an information gateway, rapid time to value, lower cost of ownership, making BI pervasive and the future with predictive analytics and next generation user interfaces through navigation and visualization.

At the conference, MicroStrategy recognized companies for achieving outstanding business performance with their MicroStrategy-based business intelligence applications. These companies were recognized because of the way their dashboards and dashboard technology enhanced the way the business decisions were made. The winners from this year were AmerisourceBergen for extranet deployment, Con-way Freight for advanced analytics, Yahoo for data analytics, Lowes for user scalability, Ross Stores for enterprise deployment and Brian Fox from Citi for individual excellence in business intelligence.

AmerisourceBergen was recognized in the Extranet Deployment category for its InSite system. The InSite system supports AmerisourceBergen’s community pharmacy clients across the U.S. with powerful dashboards and scorecards that provide rich analytics and tailored information. The extranet allows pharmacy owners to quickly identify suspect claims that may contribute to profit leakage, and uncover opportunities to expand their business and reduce unnecessary costs. AmerisourceBergen is one of the world’s largest pharmaceutical services companies, with operations primarily in the United States and Canada. Chuck Reed, from ABDC acknowledged the Systech team for its integral role in the project at the award ceremony, thus recognizing Systech’s contribution in skill and resources for the project.

MicroStrategy World 2010 was a jam packed event filled with learning and networking! We had a chance to personally experience MicroStrategy, examine the new product technology, collaborate with customers and review their progress. On the whole it was clearly evident that we would be seeing a seismic shift in the way business is conducted. And most of all it was exciting and rewarding to connect with everybody in Systech’s BI/DW ecosystem – our client base, our partners and our alumni friends!

Here’s to a productive 2010!

Vaishnavi Gollapudi
The Editor, BI Insight

Systech has been weaving MicroStrategy’s award winning BI platform into its proven methodology for creating sophisticated Business Intelligence environments since 1998.

View Systech’s MicroStrategy Technology Practice
http://www.systechusa.com/microstrategy/

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Global Credit Management Reporting

December 17th, 2009

Background

In this case study we describe how a leading provider of financial advisory services and international banking services benefitted from Systech’s innovative solution and also saved more than $7 million in logistical costs.

Our client provided a variety of products and services, including the Credit Card, the Optima Card and other consumer and corporate lending products, stored value products, corporate and consumer travel products and services, magazine publishing and merchant transaction processing, point of sale and back office products and services.

The client was looking to enhance their customer satisfaction. They wanted to act as a Global Credit Management source and needed a reporting system to manage this efficiently and cost effectively.

Solution

Systech initially established security access for web and created a data collection process. The data collection process included the gathering of report profile information and corresponding MIS data as requested

Systech then enabled a web based reporting system that helped their clients gain easier access. This proved to be a comprehensive method of viewing their statements. The data from current reports such as Industry Reports, Card member Reports and Client Hierarchy Reports was made available. The solution gave their clients the functionality and accessibility to view their corporate accounts in the categories of air, hotel and rental. This allowed for more cost effective methods of negotiating travel patterns for companies. It helped companies track their expenses world-wide.

It thereby, provided the client with a tool to leverage customer data for more complex analysis through the use of filters and interactive access to detailed information. The system also gave a highly summarized report on items such as global spending, and where and how money is being spent. This provided a value-added service to their customer. The modification of the data warehouse allowed for access of reporting on the web with guaranteed, data level security – an important issue for the users. The system could also report on multiple currencies.

Benefits

The web based reporting system provided the benefits of:

  • Improved timeliness of the Corporate Purchasing Card data
  • Reduced purchase order costs
  • Better strategic procurement decisions through increased analytical capabilities
  • Enhanced Customer Satisfaction

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Store and Merchandising Analysis

November 4th, 2009

Background

In this case study we describe how a leading provider of specialty retailer of premium pet food and supply stores, achieved enhanced sales, improved margins and better tracking of products and services and through Systech’s Business analytical solution for Retail Industry – Store Analysis, Merchandising Analysis, Promotion Analysis, Market Basket Analysis and Vendor Management .

The client needed a solution that would make it possible for them to obtain company information in a quick and accurate manner. They needed a store analysis to get an in-depth look at the sales & margins section among store contribution and the base stores performance for a two year period. They also wanted to access inventory levels at all times in order to accommodate customers with the appropriate products and services offered.

Challenges

Identification of store uniqueness was needed to allow for pricing and store assortment for proper product placement and sale. A suitable solution needed to be put into practice in order to properly target their market and track down customers to evaluate their specific buying habits. Promotional, product and vendor divisions also needed to be analyzed to gain full interpretation of the business.

Solution

Systech delivered an enterprise Business Intelligence solution, which aided ad-hoc detail merchandising and allowed reporting of data based on specific merchandising units and also in overall store analysis across all reporting components. The primary platform and framework was built for the data warehouse to completely function.

Another important solution that Systech implemented was Market Basket Analysis which helped the client understand their customer’s buying habits and enabled them to implement suitable cross-sell and up-sell to their customers.

Result

The solution enabled the client to perform effective store and merchandising analysis. This resulted in better tracking of products and services. The vendor management helped to evaluate vendor performances and helped them to identify vendors who gave better and faster service. This also allowed the client to have all the necessary products in stock to provide better customer service. Promotional Analysis effectively helped the client enhance their sales and improve their margins.

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Productivity Analysis and Reporting for Prescription Claims

September 4th, 2009

Background

In this case study we describe how a leading provider of pharmacy benefit management services achieved improved pricing and design strategy through Systech’s comprehensive, cost effective solution and analytics solution.

The client needed a powerful Business Intelligence system to cut costs to analyze spending patterns across the country. An improvement in physician compliance to utilize and better manage the pharmacy dollar was needed in order to lower healthcare costs and provide better services for customers. They needed to find a cost effective, complete and comprehensive solution which would perform complex analysis quickly and efficiently.

Challenges

The principal challenge was the analysis of claims costs, profits, sales comparisons, product comparisons and overall productivity. The customer wanted a robust system that would be easy for their IT department to maintain after it was implemented and also, one that would be scalable and reliable.

Solution

As a strategic consultant Systech’s first evaluated client’s infrastructure and environment, and recommended a datawarehouse infrastructure for implementing the solution. Systech was responsible for building and maintaining a robust Business Intelligence solution. The data warehouse is used to report on a variety of information for a multitude of clients. This helped to identify the key metrics such as top prescribers, members, and drugs by medical groups among many other functions required for prescription claims analysis and fraudulent claims detection. The data warehouse also enabled accurate forecasts of the industry’s leading trends, utilization trends & patterns. It enhanced the quality and reliability of the information gathered.

Result

The solution helped our client perform accurate forecasts of pharmacy trends leading to improvements in benefit plan design and pricing, resulting in better financial decisions. It helped physicians be better informed and helped provide quality health care for patients. Fraudulent claim detection also helped save revenue leakage for the company.

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Increasing Operational Efficiency using Profit Analysis

June 30th, 2009

Background

In this case study you would see how a leading wholesale drug distribution company achieved improved operational efficiency through Systech’s innovative and cost effective solution and analysis.

The client had to consolidate data from multiple transactional systems into a single enterprise data warehouse. The data consolidation would provide a single view across the entire enterprise and permit Integrated Reporting, Analysis and Decision-making, across the organization. This would provide a single Customer view/definition across the enterprise – eliminating the disconnect in processes such as sales, fulfillment and customer service & satisfaction.

The Challenge in the Details

The client had disparate source systems and multiple decision support systems where data could not be merged or consolidated. These data sources/elements did not map to the definitions in the financial systems either. They were able to generate reports at an invoice level and the reports were taking exceedingly long execution times. The challenges for Systech were:

  • To build a single repository for information – integrating data from the disparate systems.
  • To design a cost effective solution utilizing the existing hardware and software.
  • To deliver within the extremely tight timelines defined by the customer(s).
  • To enable flexible & detailed data analysis.
  • To implement the front-end application such that it could support existing requirements and possible future developments.
  • To provide visibility and insights into costs, revenues, capacity and assets, providing insight into past, present and future information.
  • To measure historical performance, profits of incoming orders, initiate trend analysis, predict and optimize costs, profit, capacity; for return on invested capital of your future business.
  • To ensure the delivery of undeniably accurate, actionable and widely accessible cost (direct and indirect), resource and capacity information enabling the client to operate more efficiently and in turn reduce cost.

The Solution

At the very beginning, it was determined that the sheer size of the workload combined with the complexity of the organizational and data issues would require a project team with strong leadership & high level executive sponsorship from the client. The tight schedule and budget constraints worked against the traditional approach of organizing a big onsite project team with the resources necessary to accomplish those goals.

Systech team decided to split the project into manageable parts – each of which would be tackled by a small team split into an On-site project lead and an Off-site project team. The Onsite-Offshore teams adopted a fast, responsive and iterative approach to fashion a solution for their part of the puzzle. Iterations of model-build-test-fix-retest resulted in a better componentized build for the Data Warehouse.

Systech teams worked in collaboration with the client to engage, understand the business requirements, craft the technical components and deliver a cost effective analysis for key business areas including:

  • CUSTOMER
    • Customer & Channel Profitability
    • Segmentation profitability
    • Sales Optimization
    • Strategic Cross-Sell
  • OPERATIONS
    • Distribution Optimization
    • Reducing Operating Expenses
    • Reengineering & Process Redesign
    • Supply Chain Measurement and Optimization
    • Resource & Capacity Planning & Utilization
  • PRODUCT
    • Product Profitability
    • Line of Business/Segment
    • SKU Rationalization
    • Brand Analysis
  • CORPORATE
    • Corporate Performance Management
    • Business Process Measurement & Analysis
    • Optimized Return on Capital
    • Continuous Improvement Monitoring

Result

  • The solution delivered by Systech not only addressed the pain areas but also provided additional benefits to the client.
  • Datawarehouse delivered to the client resulted in improved process efficiencies, faster query response times, reduced data load windows, a flexible data model to permit a wide range of analysis.
  • Systech’s solution empowered decision makers by allowing them to drill down into their data for detailed analysis.
  • Additional types of analysis facilitated by the solution include profitability analysis based on segment, insight into wholesale acquisition cost and better insights of the historical data.
  • Forecasting was a key functionality in the delivered solution. This function provided the scoring and tracking tools for business operations.
  • Systech helped pinpoint client’s unprofitable products, customers and vendors that might require renegotiation, re-pricing or obsolescence
  • Systech’s solution identified profitable products and customers and helped identify opportunities for profit improvement

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Falken Tire Corporation – Data Mart Development and Reporting

April 30th, 2009

Background

Falken Tire is a brand of tires by Japanese Sumitomo Rubber Industries with branches across Asia, America and Europe. Their first tire was produced in 1983 and it wasn’t until two years later that they began exporting their tires outside Japan and entered the US market only in 1990.

As the organization grew, so did the need for accurate and immediate information. The company lacked an effective way to consolidate, manage and distribute business data. Data resided in many different sources and in different formats, limiting its ability to analyze and deliver it within a single platform. To evaluate performance in the market, Falken Tire compared their Sales data with the Market data. Falken Tire wanted to perform Market Share Analysis and also forecast demand. However, they were faced with complications involving multi-source data analysis.

These issues needed to be addressed by Systech Solutions, Inc.

Challenges

Diversity of sources:

The fundamental problem that Falken Tire faced was that their data was stored in different places. The Sales data was in the Operation System, Objective data was in a flat file and Market data was in an SQL database. It was not only time consuming to create a report but also not flexible to do further analysis.

Tracking and forecasting:

Traditionally, Falken Tire could not track or forecast actual sales. Therefore, it was essential to configure a reporting tool to access information in the data mart with ease. They needed to get a deeper insight into their key sales performance to better forecast the market.

Solution

After studying the data from different sources, Systech came up with a model of how the information fit together. To enable this, the development team needed to understand the existing information and find the correlated pieces. Systech’s development team then created a common format for the data mart in a SQL Server 2005 database. Later, Informatica was decided on as the most appropriate ETL platform for this BI implementation at Falken Tire. The ETL platform was configured to support reporting and complex data analysis with maximum efficiency. It was also structured to provide enough flexibility to accommodate future trade volume and business growth.
Subsequently, MicroStrategy was configured to access information in the data mart to deliver customer friendly reports, templates and dashboards.

Result

Centralized data in BI data mart:

  • Users could easily access the data. Also allowed them to compare Falken Tire sales with their competitor and do market analysis.
  • The robust architecture of the new ETL platform provided flexibility and scalability.
  • The new ETL process fetched data to reports based on real time which was impossible earlier.

Empowered to report and analyze data to make improved decisions:

  • The new and improved dashboard consisted of multiple parameters/metrics that helped track all Key Performance Indicators in Sales and Inventory.
  • The dashboard enabled Falken Tire to view the performance of the company based on their objectives.
  • It helped create a Daily Sales Report for the previous working day and also helped to view Sales by drilling down to the zip level of the state.
  • The solution enabled business users to drill into the key trends to do an online analysis with just a click without coming back to the developer asking for a separate report.
  • The reporting tool automated the comparative market share analysis of the Sales. This process which was a multi-step process earlier was now an automated process.
  • They could report sales figures, forecast projection, estimate competitive sales and gauge the state of business.
  • Based on the forecasting demand they could manage the inventory.

The Systech team thus helped the end users view critical performance information in a matter of seconds and quickly make decisions that seek to optimize market share.

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