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PREDICTif Solutions to Present at Oracle OpenWorld 2015

EVN

oracle

 

PREDICTif Solutions, a Houston-based technology consulting firm, today announces its upcoming presentation at Oracle OpenWorld 2015. The conference, held from October 25 to 29 at the Moscone Center in San Francisco, CA, will be a premier event for business and IT professionals to learn about Oracle technologies through the interactions with Oracle and its business partners. PREDICTif’s CEO, Jeff Huang, VP of Global Sales, Karl Harrocks and OEID Practice Lead, Jimmy Philip will represent PREDICTif at the conference, meeting customers and Oracle colleagues.“This year we are very excited to have two of our customers, Wilsonart and Cox Automotive, speak on our behalf and share with our customers and partners their successes with PREDICTif. The Wilsonart story is featured on the September issue of Oracle Profit magazine, describing the incredible journey that Wilsonart and PREDICTif travelled together to build a fully integrated EPM, BI and Big Data solution” said Huang.

“PREDICTif has built a lot of successes in our three core practices, EPM, BI and Information Discovery/Big Data last couple of years.” , said Harrocks, “We are excited to leverage this platform to share our extensive experience in Oracle cloud offerings and Big Data Discovery. Whether we’re sharing our knowledge or learning from others, it’s our continuous goal to grow as a thought leader in the age of Big Data and bring this advantage to our customers.”

High-Value Health Check to Enhance Existing BI Solutions

NWS

PREDICTif Delivered a High-Value Health Check to Enhance Existing BI Solutions and Develop a Master BI Implementation Plan

CUSTOMER:

A leading Oil and Gas Equipment services company.

REQUIRED CAPABILITIES

  • Remedied performance and instability issues existed with the BI applications
  • Delivered a master Implementation roadmap for an enterprise BI and FPM architecture

CHALLENGES

The customer has over 25 subsidiaries, many acquired through acquisition. Each subsidiary had built out its own business intelligence (BI) and finance performance management (FPM) solutions using a myriad of BI and FPM products. As one of the leading global equipment service and pipeline construction companies, the customer faced numerous challenges related to instability, inconsistency and slow performance of BI applications. In preparation for the opportunities and demands of becoming part of a publicly held company, the customer needed to expand its BI and FPM architecture beyond the business unit level.  Before further expansion could take place, the customer needed to consolidate their division level BI and FPM initiatives as well as map out a strategy and roadmap to establish an enterprise BI architecture. The existing BI systems presented numerous deficiencies in terms of people, process and infrastructure:

  • All its business units had their own BI and FPM technologies, support teams and project initiatives without an enterprise level governance and standard;
  • There was no single version of truth in terms of data on the enterprise level which rendered the enterprise level reporting and financial consolidation inaccurate and labor intensive;
  • The existing BI infrastructure contained a myriad of technologies and products making support and maintenance difficult and cost of ownership extremely high; and
  • Lack of a BI competency center rendered uneven quality of delivered BI applications that resulted in slow performance and instability.

SCOPE                      

Conducted a health check to identify areas of risks and opportunities, recommend remedial measures, and produce a master implementation plan and a roadmap to build an enterprise level BI architecture.

  • Examined existing BI infrastructure and organizations in terms of people, process and infrastructure to discover areas of risks and opportunities, and more importantly, produce a list of actionable recommendations to improve the overall BI strategy and execution;
  • Reviewed the existing architecture, configurations and codes;
  • Identified bottlenecks that were causing slow performance and instability;
  • Aligned business objectives and priorities with BI initiatives;
  • Created organizational philosophy and culture to support an enterprise BI strategy; and
  • Developed a master implementation plan and roadmap for an enterprise level BI architecture.

SOLUTION

PREDICTif Solutions was engaged to provide a 2-week health check. PREDICTif’s senior architects reviewed the existing BI infrastructure, made recommendations for improvement and delivered a master implementation plan for rolling out BI to the entire enterprise.

Based on PREDICTif’s standard health check agenda and customer priorities, PREDICTif and the customer created a detailed agenda before the engagement. The agenda addressed both tactical and strategic aspects of the customers business. The tactical aspects were to analyze the existing BI solutions to identify areas of risk and opportunity as well as provide recommendations on both. The strategic aspect was to understand the customer’s business priorities and deliver an enterprise BI implementation plan.

The two week agenda was filled with workshops, interviews and document reviews during which, PREDICTif’s architects met customer’s personnel from numerous areas of the business to discuss business objectives, current BI architecture and business user concerns. Conversations focused on areas such as data quality, data governance, data modeling, report requirement gathering processes, architecture, support/maintenance and technology best practices. The architects also discussed future plans, business initiatives, short term and long term business goals as well as technological direction in the BI and FPM arena.

The PREDICTif resources combined our own set of BI and FPM best practices and standards with information gathered from the discussions in order to produce a  set of documents:

  • The tactical health check deliverable is in the form of a Microsoft Word document and a Microsoft PowerPoint presentation both of which outlined areas of opportunity, improvement and identified risks as well as the necessary steps to mitigate those risks.
    • In this case, the PREDICTif architects discovered that the BI architecture was not designed appropriately for the increased number of users and business cases which caused significant degradation of performance and stability;
    • The customer did not have a well defined data governance process that was accepted by all business units. It resulted in poor data and metadata modeling as well as an overall lack of data quality and transparency;
    • The architects made recommendations to improve the Bi architecture in terms of performance and stability; and
    • The architects applied PREDICTif developed and tailor-made data governance and data modeling best practices to the customer’s business and IT environment.
  • A master BI implementation plan and roadmap was delivered in order to consolidate the dispersed BI architecture as well as establish an enterprise level BI infrastructure.
    • The implementation plan entailed a multi-phased project plan that detailed the sequence of activities, dependencies and high-level estimate of effort as well as timelines;
    • It illustrated a 18-month BI architecture evolution through the phases of implementation;
    • The roadmap also considered the trend and best-in-class BI technologies; and
    • The implementation plan included the steps to establish an enterprise level BI competency center and governance process.

RESULTS

PREDICTif delivered considerable value to the customer’s return on the software and IT infrastructure investment. The health check’s findings and recommendations significantly improved both the performance and the stability of the customer’s existing BI architecture. The implementation plan provided a clear roadmap to establish an enterprise level, world class BI architecture.

  • The improvement decreased the rendering time of a complex report from an average of 6 min to less than 30 seconds, greatly increasing the productivity;
  • The upgrade and addition of hardware and software instance increased the overall uptime from 95% to that of 99% which was a requirement of the business;
  • The customer completed all three phases of PREDICTif’s recommended implementation plan and the overall BI initiatives continue to gain adoption and approval from the business use population.

Scalable financial reporting solution for healthcare management

NWS

PREDICTif delivered a scalable financial reporting solution for a leading health management services and equipment company

CUSTOMER:

A leading health management and diagnostic services and equipment company.

REQUIRED CAPABILITIES

  • Financial consolidation and reporting
  • Interactive analysis
  • Forecasting and Budgeting
  • Cognos TM1 Web

CHALLENGES

As one of the leading construction multimedia companies, this customer is faced with the following challenges: inefficient central financial reports, reliance on manual inputs, and cumbersome Excel intensive reporting tool. With financial data coming from 8 different data sources, a central reporting tool to consolidate all the reports is needed. The business is presented in six platforms and each platform gets the data from its own data source.

The chart of accounts is compiled from a string with over 20 characters.  The accounts dimension hierarchy was set up in such a way as to hinder reporting leading to miss interpretation of data and errors in reports.  Each of the six platforms has their own chart of accounts and reporting method making it difficult to consolidate in a single tool. Therefore, a lot of manual methods are involved in creating reports.   Heavy reliance on Microsoft Excel to input budgeting data is present.  As a Solution, PREDICTif Solutions proposes an end to end solution to centralize the financial reporting system to provide budgeting and forecasting for the organization.

SCOPE

  • The objective of the project was to deliver a solution that leveraged TM1’s in-memory OLAP capabilities and simplified the monthly financial consolidation and reporting process.
  • Centralized, efficient and ease of use access application which can reduce preparation time. Instead of spending time on preparing reports, users can now focus on analyzing data.
  • Instill ‘one version of the truth’ consolidation reporting system that can be applied to six platforms
  • Provide a proficient budgeting and forecasting web based process that allows users to input data at the line item level.
  • Give ability to end users to build and analyze reports without reliance on IT or the Accounting department

SOLUTIONS

After evaluating several world class solutions, IBM Cognos TM1 was selected for a number of reasons – one of them being that IBM Cognos TM1 provides a real-time approach to consolidating, viewing, and editing enormous volumes of multidimensional data.

PREDICTif was engaged to provide an end-to-end solution delivering 25 Cubes with dimensions ranging from 5 to 15 in order to provide Financials and Assumptions models. Changes in financial forecasts, assumption metrics and indirect expenses were made via customizable Excel templates as well as directly through the TM1 interface.   Reports created both in TM1 and Excel were readily accessible through the web with no additional effort.

  • PREDICTif Solutions was able to create a set of multidimensional cubes utilizing OLAP technology that can dynamically slice and dice through data sources.
  • Design a user-friendly excel input templates which can access through TM1 web. The cubes support consolidation and reporting of both budgeting and forecasting data as well as allocation.
  • An automated data extraction using by TI processes (ETL) tool that can update multi dimensional cubes from 8 different data sources.
  • Users can use dimension editor as primary method to maintain or update dimensions that are not from the source system
  • Setting up different instances for security purposes and separate the finance consolidation modules, budgeting applications and compensation modules will be given access by corporate controller.
  • Substantially reduce time spend on creating monthly financial reports. Reports are easily access and produce with little or no reliance on the accounting and IT department.
  • Provide a real-time consolidation reports and offer an automated tool for producing annual budget and monthly forecast process.
  • Eliminate manual effort and errors of gathering data from multiple reports, spreadsheet and data sources
  • Provide power users training and knowledge transfer to the client so they will be able to build additional reports, budget templates and forecasting procedures out of the cubes.

RESULTS

PREDICTif solutions delivered measurable results to the client.  Now the client is able to provide “one version of the truth” in their reporting system.  Customers can now use the centralized financial reporting cube to analyze data across six platforms and they now have an automated ETL process to update dimensions and cubes from 8 different data sources.  The TM1 web based input budgeting and forecasting system also allows users across the enterprise system to input data at the line item level.  The application significantly speeds up the budgeting and forecasting process and empowers users to create or modify input templates without IT department influence.

  • With the deployment of the TM1 solution, the number of hours spent generating consolidated financial statements were reduced considerably, allowing more time for analysis;
  • Multiple disparate business units were brought together under one streamlined reporting process with a standardized company-wide output;
  • The finance group supported and upgraded the solution and the accompanying infrastructure through its own staff, without dependence on the IT support; and
  • Consolidated financial reports have obtained further reach as a result of the use of TM1 web.

Business Intelligence (BI)

BLG

Business intelligence (BI), once a competitive differentiator, is now a commodity. Most companies have implemented BI solutions that provide historical reporting, dashboarding, metrics and scorecarding for past events. Companies know what has happened but the ability to know what will happen will be the competitive advantage that companies need to excel in this volatile and ultra-competitive environment. Predictability is the next step in the evolutionary process of Business Intelligence.

Traditional Business Intelligence and data warehousing focus on strategic, long term decision support. While strategic Business Intelligence continues to be a requirement to support long range vision, Predictive Business Intelligence (PBI) takes business Intelligence beyond a process that has traditionally looked backwards and has been reactive in nature. PBI empowers the enterprise in realizing competitive advantages and provides the business with the necessary agility to meet the challenges of today’s rapidly changing business environment by mitigating risks and maximizing opportunities. PBI greatly improves both long term strategic decision making and near team operational decisions.

The ability to make Predictive strategic decisions will separate enabled companies from their competition enabling them to capitalize on opportunities and reduce exposure to risk. Statistical analysis on operational and transactional data will provide insightful information on business trends and enable the business to make strategic decisions quickly and more effectively. For example, when a retail chain is determining whether to establish a presence in an unfamiliar territory, it could utilize growth data from other locations and combine it with the local data as well as current projection data to provide support for the decision making. The data might be sketchy and sparse, but statistical analysis will offer a sound basis for decision making. Other examples can be found in oil & gas exploration or pharmaceutical development projects for instance. These projects often entail long development cycles and considerable up-front cost the outcome of which has significant impact on the overall performance of the business. Predictive decision making will enable those companies to analyze more data in order to gain a complete view of the business cases and leverage proven statistical models to aid those impactful decisions. The completeness and quality of the data analyzed are critical to determine the accuracy of the prediction. Although companies in these verticals go to great lengths to develop elaborate risk management models to address common concerns, predictive business intelligence In support of existing risk management processes, provides a richer set of data and more interactive analysis to ensure a better outcome.

 

JB Poindexter makes substantial hardware cost savings thanks to IBM Cognos Express

NWS

With help from IBM Cognos Express and PREDICTif Solutions, JB Poindexter and Co. was able to upgrade, consolidate, and standardize their diverse reporting systems, saving at least $50,000-75,000 a year in hardware costs, and increasing productivity by 100-125%.

CUSTOMER:

J.B. Poindexter & Co., Inc. is a privately held diversified manufacturing company with operating subsidiaries engaged in the production of commercial van bodies, step-vans, funeral coaches, limousines, mid-sized buses, pick-up truck bed enclosures and tonneau covers, precision machined components and expandable foam plastics.

The company operates with a decentralized management and operating structure. Subsidiaries have complete operational, financial and administrative responsibility, with professional and executive management support provided by the corporate staff.

“The highly knowledgeable consultants at PREDICTif understand business intelligence. That’s why they recommended IBM Cognos technology to fit our business needs, technology that we are very happy with. IBM Cognos is intuitive, can be owned and managed by the business, and has amazing reporting, planning, and dashboard features. It also happens to be one of the best bargains on the market.”

Jay Krishnamurthy Vice President-IT, J.B. Poindexter and Co.

CHALLENGES

J.B. Poindexter & Co. has grown significantly in the last few years, acquiring six separate business units. As each unit maintained its own staff, product lines, customers, as well as its own ERP system, reporting processes were difficult to manage. The business and corporate units had limited visibility into crucial arenas, such as performance at plant levels, costs, margins, overhead, material savings, etc. Due to the nature of their sustainable growth, they lacked consistency in information and standardization processes.

In addition, the information reporting and planning processes that were in place were antiquated. With manual and laborious systems in place that included spreadsheet formatting, crucial business information was often inconsistent and difficult to come by in a timely manner.

J.B. Poindexter & Co. needed away to upgrade their system into an automated, consolidated, and standardized. That way, corporate and business units would be able to quickly and easily view crucial information at both a detailed and broad level, allowing them to manage effectively and respond to any potential problems or risks immediately.

APPROACH

  • Leverage PREDICTif’s recognized experience and expertise to implement a business intelligence solution tailored to JB Poindexter and CO.’s needs.
  • Purchase multiple IBM Cognos Express modules.
  • Consolidate, standardize, and automate reporting and forecasting processes across all distinct business and corporate units.

RESULTS

  • Implementing IBM Cognos and PREDICTif services, provided end users with an intuitive budgeting, forecasting, and reporting solution with BI capabilities.
  • Created a system of easy-to-understand dashboards that automatically provide critical information across all business units, allowing management and corporate to assess performance and risk in a timely manner.
  • Implemented a cost-effective solution, saving $50-75,000 a year in hardware costs alone.
  • Eliminated the need for report builders by empowering end users with an easy-to-use system.
  • Allowed IT staff to focus on IT needs instead of spending several hours a day loading data and fixing reporting issues.
  • Increased productivity by 100-125%.
  • Reduced time to deliver manual reports by well over 200%.

BENEFITS AT A GLANCE

  • Upgrade and consolidate budgeting, forecasting, and reporting systems into one easy-to-use solution, IBM Cognos Express.
  • Using IBM Cognos Express, significantly reduce manual reporting from the separate business units by over 200%.
  • Generate consolidated, standardized reports that include product line costs and margins, fast and efficiently to make better business decisions.
  • Create easy-to-use reporting dashboards across all business units and corporate units, so that all levels of management can assess performance and risk in real time.
  • Increased productivity by 100-125%.
  • Employ PREDICTif Solutions  consultants to install a cost-effective solution, and even complete phase one of the project early and on-budget.
  • Leverage PREDICTif’s proven expertise to build a solution specifically tailored to J.B. Poindexter’s needs.

PREDICTif help find an enterprise dashboard & scorecard solution for energy company

NWS

A global integrated energy company seeks PREDICTif’s help to find an enterprise dashboard and scorecard solution to track KPIs

CUSTOMER:

A global major integrated energy company.

REQUIRED CAPABILITIES

  • An Enterprise Level Dashboard and Scorecards that tracks KPIs against Refinery Actual, Planned, and Scheduled Metrics with reduced data latency and enhanced ease of use

CHALLENGES

As one of the world’s largest integrated energy companies, our customer conducts business in every aspect of the crude oil and natural gas industry, including exploration and production, manufacturing, marketing and transportation, chemicals manufacturing and sales, geothermal energy, and power generation. Our customer sought an enterprise solution to track key financial and operational KPIs.

  • The customer did not have Metrics for key performance indicators in critical financial and operation categories;
  • Unable to track down any change in the key metrics and identify the contributing factors to the change;
  • No dashboarding capabilities to provide a snapshot view into operational performance at world wide refineries; and
  • There was 1-2 day of data latency, and as a result, the reports did not contain up-to-date information.

SCOPE

The customer’s requirement was to create an enterprise level dashboard that tracked key KPI’s against their Actual, Planned and Scheduled Metrics. The scope also included the creation of dashboards and scorecards to give a high level representation of critical operational data.

  • Increase visibility — create dashboards that allow the business a high-level view of  granular data in order to get to timely address business problems immediately;
  • Increase accountability — assigns owners for each metric as well as the accompanying responsibility for performance;
  • Increase focus — concentrate on priorities and eliminate distractions;
  • Improve communication — communicate results and actions taken to manage performance; and
  • Improve collaboration — use metrics to link together people, departments and processes.

SOLUTIONS

After evaluating several world class solutions, IBM Cognos BI was selected for a number of reasons – one of which being IBM Cognos BI provides a highly customizable and informational dashboard and scorecard solution. Cognos metrics studio, metrics designer and framework Manger version 8.4 provide needed metrics functionality to meet the requirements. PREDICTif was engaged to provide an end-to-end BI solution and develop Refinery Metrics and Balanced Scorecards using Cognos Metrics Studio/Metrics Designer 8.4.

  • Analyzed existing requirements for the need to created metrics, metrics types, planned values, actual values, charts and various scorecards;
  • Installed and configured Metrics Studio and Metrics Designer on the existing Cognos BI 8.4 environment;
  • Used Framework Manager to initially model a package that will be used to as a source for creating the metric designer package;
  • Created various Metrics and Metrics Types (Actual Vs Scheduled, Actual Vs Planned, Planned Vs Scheduled etc) and compared the different metrics;
  • Developed customized Report Studio Reports to be used as part of this metrics analysis;
  • Used Metric Designer to create a metric package for use in Metrics Studio;
  • Used Custom calendar and performed various admin tasks like pushing data into staging area and then into metric store etc;
  • Developed a balanced scorecard based on the various metrics created earlier; and
  • Trained Administrators, BA’s and Developers to maintain this metrics model and package and also them on used metric studio.

RESULTS

PREDICTif delivered a Cognos BI solution that increased the visibility to significant business events and enhanced the customer’s ability to detect and resolve business issues and maximize market opportunities.

  • The Cognos BI Dashboard provided a consolidated view of refinery operational metrics from all of the customer’s worldwide refinery units;
  • The Scorecard solution offered insight into operational issues and enabled teams to design and implement measures to resolve issues;
  • The data integration solution significantly reduced the latency and delivered up-to-date information to business users; and
  • The customer was able to support and upgrade the solution independently after PREDICTif provided extensive and specific training and detailed documentations.

Cognos migration success story for auto parts company

NWS

Leading retailer and distributor of auto parts successfully migrates from Cognos Impromptu 7 to Cognos 8

CUSTOMER:

A leading provider of communications, high-speed Internet and entertainment services in small-to-mid-size markets delivering advanced communications services through its broadband and fiber optics network in more than 33 states.

REQUIRED CAPABILITIES

  • Migration of IBM Cognos Impromptu 7 to IBM Cognos 8 BI
  • Improved performance and efficiency
  • Migration of Catalogs and Reports
  • IBM Cognos 8 BI Training

CHALLENGES

Our customer was interested in eliminating inefficient, error-prone reporting and the resolving of numerous performance issues that were inherent to their existing Cognos Impromptu 7 reporting solution. Their legacy solution…

  • Used a client based tool that made data integrity maintenance difficult and at times, unresponsive and unable to address data validation;
  • Used a database based security model that is difficult to manage and maintain;
  • Had existing Impromptu reports using hot files, macros, and Excel files for reporting;
  • Structure, data and formatting relative to producing reports was overly complex;
  • Was error prone as many existing Impromptu reports contained numerous errors as a result of incompatibility; and
  • Incorporated existing Impromptu reports which had many limitations in terms of report format, report data and report output.

SCOPE

The scope of the project covered a wide spectrum of functional areas and included:

  • Installation, configuration and performance tuning of Cognos 8.3 to requirements;
  • Migration of existing reports and catalogs to reap the benefits of new Cognos 8;
  • Ensuring the accuracy of the administrative aspects relative to migration and consistency of user access and security with that of existing systems in order to minimize downtime;
  • Resolution of security issues resulting from a client based impromptu solution to that of a web based Cognos 8 solution;
  • Providing training to end users for a seamless transition from Cognos Impromptu 7 to that of Cognos 8.3;
  • Additional functionality gained by the business without compromising its data integrity;
  • Fine tuning performance while addressing data validation;
  • Delivery of a Cognos based security model complete with the training of the users to ensure adaptation of change; and
  • The leveraging of more advanced functionality found in Framework Manger and Report Studio.

SOLUTIONS

The Customer chose PREDICTif for migration of their existing IBM Cognos® Impromptu 7 to that of IBM Cognos 8. PREDICTif demonstrated the necessary depth of experience in designing, building and delivering scalable BI solutions the customer required in a solution provider.

The PREDICTif team, comprised of IBM Cognos Certified consultants, used PREDICTif’s proprietary methodology to deliver the project, in three main phases we refer to as: Foundation, Implementation and Evolution.

The Foundation Phase established the readiness of people, infrastructure and process to ensure both PREDICTif and customer teams were immediately productive at the inception of the project. The Implementation Phase delivered the solutions that met the business objectives of the project. The Evolution Phase ensured customer’s self sufficiency post production.

Foundation Phase

  • Reviewed the existing process and collected existing reports, data sources, and information needed for the process as a part of Discovery Stage;
  • Generated a detailed Migration plan after numerous planning sessions with the customer;
  • Provided foundational training of Cognos 8 to customer’s personnel to ready them for the participation in requirement gathering, design workshops and testing; and
  • Installed and configured Cognos 8 and made all the needed integrations to dependent data sources within DEV, TEST and PROD environments.

Implementation Phase

  • Applied PREDICTif’s best practices in all designs of reports, metadata and data models to achieve consistency and meet industry standards;
  • Completed the migration of all the catalogs and reports that are free of functional errors, ambiguous relationships and loop joins;
  • Created many reports from scratch as those reports lost the formatting and data formats post migration to guarantee end users the exact same report formats;
  • Validated all the reports manually with the Impromptu reports for consistency in report data, report formats, and report output;
  • Produced numerous reports of medium to high complexity which included calculations, data based on numerous groupings, multiple prompts, filters, conditional formatting, charts, various associations, master-detail relationships, date-time calculations, and heavy formatting;
  • Created an efficient security solutions for user access that leveraged Cognos 8 security features; and
  • Worked with customer’s personnel throughout the projects to ensure knowledge transfer to the customer.

Evolution Phase

  • Created custom training materials on Report Studio and Cognos Connection as well as administered classroom training sessions to power users and end users to ensure a smooth transition from Cognos Series 7 to Cognos 8; and
  • Produced detailed documents for new report authoring and overall system support and maintenance to guarantee customer self sufficiency post production.

RESULTS

PREDICTif successfully delivered a solution that met the required functionality and training requirements for the Customer’s self sufficiency.

  • Produced a successful migration of all Models and Reports from Cognos Impromptu Series 7.1 to Cognos 8.3 as well as a user-friendly, refined Framework Manager Model that enabled customer personnel to create ad-hoc reports more easily;
  • Completed deployment of all reports under budget, ahead of schedule and exceeded customer’s expectations;
  • Established an efficient approach for providing access to each user based on roles and groups in Cognos 8;
  • Provided end users the required visibility into their data and a more efficiency related to creating the required reports; and
  • Enabled end users to query and build reports, create ad-hoc reports and use various other functions built into Report Studio.

Oracle BI Enterprise edition solution for UK Based Leeds Teaching Hospitals

NWS

Leeds Teaching Hospitals NHS Trust Builds Budget Reports Six Times Faster, Achieves 100% ROI in 12 Months

CUSTOMER:

Leeds Teaching Hospitals National Health Service (NHS) Trust is one of the largest hospital systems in the United Kingdom and includes Europe’s largest teaching hospital. The trust provides acute services for the population of Leeds; is a regional center for specialist services, including cancer and cardiac surgery; and treats more than 1 million patients each year.

CUSTOMER QUOTE:

“Oracle Business Intelligence Enterprise Edition enabled us to move to a balanced scorecard approach for strategy management and planning. The insights it provides will be critical to our ability to identify where we can make operational savings of US$33 million each year for the next four years while continuing to deliver excellent quality healthcare to the public”

Robert Angel, Assistant Director of Finance, Leeds Teaching Hospitals NHS Trust

CHALLENGES

Consolidate financial and non-financial clinical and corporate data from all hospital departments into balanced scorecards to monitor performance against national and local indicators, deliver timely and accurate statistical returns to the Department of Health and central NHS, and achieve near 100% accuracy for strategic planning

Allow senior clinicians in radiology, neurology, oncology, trauma, orthopedics, pathology and analysts to access and interrogate real-time cost and performance statistics for the medical procedures carried out by their departments, identify the cost of each patient episode, and compare costs and outcomes between departments

Enable hospital managers to drill down into financial data on both clinical spend and non-clinical expenses, such as administration, catering, cleaning, utilities, and estate management, and enable analyzing multi period extracts of expenses in each area and identifying variances against the plan

Minimize training requirements for nontechnical medical and administrative staff and deliver new analytical and reporting capabilities at the speed of user and business demand

Meet government target of saving US$33 million for the next four years without negatively impacting critical factors, such as the availability of beds, wait times for appointments with consultants, timeliness of operations, and the quality of patient care

Solutions

Used Oracle Business Intelligence Enterprise Edition to deliver personalized budget and Leeds Teaching Hospitals NHS Trust

Nominal roll reports via monthly dashboard e-mails, delivering extensive management reports to 750 clinical and nonclinical cost center managers from all disciplines

Enabled Corporate Finance to see individual transactions in just a few clicks, using Oracle Business Intelligence Answers to drill down from high-level summary to journal and subledger details, accessing scanned-in invoices from links embedded in the dashboard e-mail

Enabled all budget holders to render up to eight reports simultaneously on a single page in approximately three seconds, a process that took up to six minutes with the legacy system and involved opening multiple workbooks Gained immediate adoption from previously resistant users who gained competency with minimal training

Leveraged Oracle Business Intelligence Enterprise Edition’s intuitive development tools so key users could build new reports, meeting rapidly expanding user demand in 5 to 30 minutes instead of three to four hours using legacy tools

Used drag-and-drop functionality to feed quarterly balance sheet statements and statistics from the enterprise resource planning (ERP) system and other sources into Oracle Business Intelligence Enterprise Edition

Conducted rapid modeling of complex data to compile balanced scorecards

Benefited from Oracle Business Intelligence Answers to shift the focus from extracting data to gaining timely business knowledge

Studied period-on-period comparisons and analyzed price and volume element variances to assist forecasting and future planning with 99.9% accuracy for outturn projections based

Benefited from Oracle Business Intelligence Answers to shift the focus from extracting data to gaining timely business knowledge

Studied period-on-period comparisons and analyzed price and volume element variances to assist forecasting and future planning with 99.9% accuracy for outturn projections based on half yearly figures when tested on historic data over a three-year period

Conducted detailed spend analyses to determine how best to achieve US$33 million annual savings while minimizing impact on front-line services

Gained 100% payback on investment in Oracle Business Intelligence Enterprise Edition within 12 months, an outstanding achievement for a complex and large-scale solution

Progressed with Oracle Business Intelligence Delivers roll out to provide budget holders with automated e-mail alerts if KPI thresholds were being exceeded, facilitating exception-based management

Committed to further roll out of Oracle Business Intelligence Enterprise Edition to all hospital departments within two years

Leeds Teaching Hospitals National Health Service Trust chose Oracle over alternative business intelligence solutions for its unrivalled functionality and scalability and because it could extract data from multiple sources without manual intervention.

“The leading competitor tools that we evaluated could not offer automated data extraction. It would have taken an IT team member around one-and-a-half days per month to manually extract the data into spreadsheets and load it into the solution for analysis with alternative solutions. Or we would have been looking at solutions where revenue costs increased with each step change in functionality or data refresh,” Robert Angel, Assistant Director of Finance, Leeds Teaching Hospitals NHS Trust.

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