ANALYTICS Business Intelligence / Predictive Analytics / Data integration / Data Management

Transcription

1 TIBER SOLUTIONS ANALYTICS Business Intelligence / Predictive Analytics / Data integration / Data Management 1

2 Tiber Solutions Corporate Briefing We do one thing Analytics Tiber Solutions is a professional services company focused on delivering business intelligence, data analytics, and data management thought leadership and solutions to corporations and government agencies. Founder and President Jim Hadley Year Founded Revenue $6M Number of Employees 23 2

3 Tiber Solutions Customers Financial Regulatory Securities and Exchange Commission Federal Deposit Insurance Corporation Office of the Comptroller of the Currency Transportation Amtrak Health Care Health and Human Services National Institutes of Health Cognosante Occupational Safety and Health Administration Amethyst Technologies Financial Services Department of Treasury Fannie Mae Freddie Mac National Cooperative Bank AOC Solutions 3 Delta Systems Public Sector Census Defense Logistics Agency Housing and Urban Development Other Graduate Management Admission Council Carnegie Mellon University SAP Business Objects FrontPoint Security 3

4 Tiber Solutions Capabilities Services Business Intelligence/Analytics Architecture and Solutions Dashboard/Data Visualization Solutions Predictive Analytics Solutions Data Warehousing Solutions Big Data Solutions Dimensional Modeling/Star Schema Design ETL Architecture / Data Integration / Data Engineering Master Data Management / Data Governance Technologies Business Intelligence/Analytic Tools: SAP Business Objects, Cognos, Tableau, Microsoft Power BI, Microsoft SSAS/SSRS, MicroStrategy, R, RapidMiner, SAS, SPSS, and Oracle Hyperion ETL/Data Integration Tools: IBM DataStage, Informatica PowerCenter, SAP Business Objects Data Services, Microsoft SSIS, and Talend Databases: Oracle, DB2, SQL Server, Sybase, Sybase IQ, PostgreSQL, Amazon Redshift, Hadoop (Cloudera and Hortonworks) Project Life Cycle Planning and Leadership Strategy, Education, and Coaching for IT and Business Leadership Other: Amazon Web Services, Microsoft Azure 4

5 Tiber Solutions Results Customer Problem Solution Amtrak Transforming a Company into a Data-Driven Organization In 2014, Amtrak s executives developed and began executing a 5-year strategic plan. The plan required executives and their reporting VPs, directors, and managers to be held accountable to role-specific, timely, and actionable metrics. At that time, Amtrak had invested very little in developing information assets. Amtrak required leadership in the areas of BI/DW/Analytics to help transform Amtrak into a data-driven organization. Worked with Amtrak business and IT executives over a 6-month period to develop a 5-year BI/DW/Analytics strategic plan and implementation roadmap based on business priorities with input from across the enterprise. Currently executing the second year of a 5-year, 20-subject area implementation effort to establish Amtrak s enterprise data warehouse (Oracle AWS, Informatica, SAP, and Tableau). Led technology replacement, selection, and implementation efforts (e.g., Oracle AWS, Tableau, SAS, mobile, real-time, and on-prem to AWS migration) Partnered with business and IT executives to establish new metrics, data governance, design patterns, best practices, and agile development methodologies. Healthcare Company Fraud Detection A healthcare company, whose customers include many US states, needed to identify Medicaid fraud across millions of claims. Partnered with the Director of Fraud, Waste, and Abuse to develop and execute algorithms to detect Medicaid fraud in the areas of pharmacy, inpatient, and professional claims. SEC Needle in the Haystack The SEC stores billions of rows of trade data. With this large volume of data, they were struggling to identify and analyze insider trading activities. Partnered with SEC s Enforcement Division to develop algorithms to identify prospect insider trading activities. Developed a data mart application to identify and analyze prospect individuals and groups executing insider trades. 5

6 Tiber Solutions Results Customer Problem Solution Financial Product Company GMAC FDIC Productizing and Monetizing Information A financial product company wanted to monetize the billions of financial transactions they collect by creating a financial analytics product for their current and prospect customers. The Life Cycle of an MBA Candidate GMAC administers the GMAT aptitude test for admission to business school. GMAC sells multiple test-preparatory products. Their new VP of Marketing wanted to know when and why candidates purchased test-prep products to better understand behavior and increase revenue. Learning from History FDIC wanted to study past bank failures to better understand and detect potential future bank failures. Worked with the COO, CTO, and Chief Product Officer to assess their current-state and candidate future-state technology products (ETL, BI, and database), platform architectures (cloud/on-prem), and information architectures (star schema vs. 3NF, row-level/collevel security). Led and developed quick POCs for multiple technologies (e.g., Microsoft SSIS, Amazon Redshift, Tableau, and MicroStrategy) to confirm products abilities to meet requirements. Partnered with business and technology executives to establish the financial analytic product. Analyzed historic product purchasing data to develop a comprehensive life cycle timeline of MBA candidate behavior from registration on MBA.com, to test preparation, through test completion. Developed dashboards for each product to determine the optimal time to advertise a product in relationship to a candidate s scheduled test date. Integrated the dashboards with an automated application to send product-specific and candidate-tailored messages. Developed a feedback loop analysis method to analyze and influence purchasing behavior. Teamed with multiple FDIC business groups to develop an enterprise data warehouse that integrated examination, bank-submitted, and industry-trend data and enabled cross-subject area analysis to study past bank failure patterns to detect potential future bank failures. 6

7 Tiber Solutions Employee Profile Number of Employees 23 Average Age 35 Average Years Experience 15 Level Senior-Level = 15 Mid-Level = 8 Employee Description Intangible Employee Qualities Tiber employees are hands-on, expert-level practitioners who are deeply skilled in all facets of BI/DW solutions, strategies, and methodologies. Tiber employees provide BI/DW strategy, coaching, and technical expertise to IT organizations from the CIOs to developers. Tiber employees also cross over to the business side and partner with executives to co-invent optimal solutions that truly improve their business. Hard-working, Take On Responsibility Dedicated, Loyal Natural Leaders Problem Solvers Life-Long Learners Honest, Humble Strong Communication Skills 7

8 Tiber Solutions Business Model Partners/Customers Employees Recruiting Tiber forms long-term, trusted partnerships with primarily small businesses but also system integrators. Tiber becomes the trusted data and analytics thought leaders for our partners. Our partner s success is our success and drives follow-on business. Most partners have strong project managers and junior-to-mid level developers, but no technical thought leaders who can wisely win work, staff projects, define strategies, implement solutions, and deliver results. Tiber assists at any point in the business development and implementation process. Tiber does not want to be a federal prime contractor. Tiber has no VP of Sales, VP of Business Development, or administrative staff. Employees are Tiber s greatest asset and highest priority. Empowered, challenged, and rewarded employees make customers successful and happy. Tiber hires senior-level thought leaders. This minimizes perceived competition with partners who have strong project managers and junior-to-mid level developers, but need BI thought leaders to complement and lead their project teams. Recruiting is a constant activity. Find a strong candidate first, then look for the opportunity to staff them. Turn down work if the right resource is not available. 8