HQ0034-19-R-0085_Draft_PWS.doc

PERFORMANCE WORK STATEMENT (PWS)

Office of the Chief Management Officer Data Mining Software-as-a-Service Platform with Data and Analytics Solutions General Information

1.

General: This is a non-personal services contract to provide data licenses, software licenses, and advisory services. The Government shall not exercise any supervision or control over the contract service providers performing the services herein. Such contract service providers shall be accountable solely to the Contractor who, in turn is responsible to the Government.

1.1 Description of Services/Introduction: The contractor shall provide all personnel, equipment, supplies, facilities, transportation, tools, materials, and other items and non-personal services necessary to perform all work and services as defined in this Performance Work Statement except for those items specified as government furnished property and services. The contractor shall perform to the standards in this contract.

1.2 Background: The Chief Management Officer (CMO) is the principal Department of Defense (DoD) official responsible to the Secretary and Deputy Secretary of Defense for leading and enabling the management, integration, and improvement of the DoD’s business operations. The Office of the CMO (OCMO) is responsible for working across the Department to break down organizational stovepipes and create a cross-functional, end-to-end business environment that is synchronized to rapidly respond to warfighter needs in the most cost-effective way possible. Working across all DoD components, the OCMO is focused on delivering agile, efficient, and effective business operations that support the warfighter.

The OCMO accomplishes its mission through a series of data-enabled core service offerings, such as business strategic planning, performance management, implementation and oversight of defense business systems, portfolio and investment management, process optimization, architecture and standards development, and the analytics to support all of it. With these service offerings, the OCMO is putting in place a comprehensive data analysis framework for more effective management utilizing the key levers of strategy, people, process, data science, technology, and controls.

This data analysis framework will enable a data science/data-first approach that supports, at scale, current and future reform efforts that enable the National Defense Strategy and provide on-demand and accurate decision-grade information to leaders across the defense enterprise. To reduce cost, increase speed, and improve performance, the OCMO is subscribing to a web-based data-mining SaaS platform with attendant data delivery and data analysis services.

The ID/IQ contract will serve as a consolidated contract vehicle to license the SaaS platform, data to sustain current reform efforts, and procure the analytic capabilities needed to support the OCMO and DoD’s business operations.

1.3 Objectives:

The overarching objective of this support is to provide OCMO and DoD leaders, operators, and analysts the technology and analytical support they need to enable the National Defense Strategy by building a more lethal force and reforming the DoD for greater performance and affordability. The National Defense Business Operations Plan requires ongoing analysis of various DoD lines of business and areas of focus, such as: human resource management; financial management; real property management; logistics and supply chain management; healthcare management; community services; cyber defense and information technology management, and testing and evaluation. Additionally, a data-first approach, at scale, is required to perform analysis across the spectrum of strategic intent, budgeting, spending, and outcomes to optimize business operations in support of the National Defense Strategy.

1.4 Scope: The scope of work is for OCMO headquarters and its Directorates but may extend across all DoD components, including OSD, defense agencies, the Services, and the Joint Force. In support of this mission, OCMO requires an at-scale data-mining Software-as-a-Service (SaaS) platform with direct data access via licensing and expert data analytic services. This includes, but is not limited to:

· Provide a SaaS platform to enable real-time data analysis across the DoD.

· Provide licensed data that must have metadata that enables linkages between currently siloed DoD systems, e.g., the ability to crosswalk between databases of financial transactions and contracting (and other) data.

· Provide data analysis services that:

· Identify and analyze efficiency opportunities to improve DoD’s affordability and the effectiveness of management support functions across the Office of the Secretary of Defense (OSD) and DoD in support of the National Defense Strategy.

· Perform functional portfolio analysis of DoD investments to determine actual business cost, opportunities for savings, and return on investment (ROI).

· Analyze outcomes, performance measures, and activities across lines of business

· Contribute to the execution of DoD enterprise initiatives across the core business processes of the DoD.

· Can be quantified and substantiated to Senior DoD leadership using statistical analysis in conjunction with historical data referenced from the DRCED environment

· Resulting models and analytical results can be evaluated and compared using structured quality review process

TASKS

5. Tasks:

5.1 Software-as-a-Service (SaaS) Platform General Requirements 5.1.1 Contractor must provide a standardized, normalized, curated, and longitudinally accurate group of DoD-relevant datasets already integrated and available in a mature web-based Software-as-a-Service (SaaS) platform for data analysis. The platform and the analyses derived from it should provide decision-grade information to the DoD to support comprehensive, taxonomic analyses of the defense enterprise. At a minimum, data sets should link, not just contain, budget, contracting, grants, and spending data, and must be able to ingest and link together DoD data sets with contractor data sets to create a clear view of the government, industry, university, and research center/laboratory landscape, forming the foundation upon which more advanced analysis may be rapidly implemented.

5.1.2 The SaaS application should be the sole property of the contractor and use advanced data science techniques and technologies such as entity extraction, concept search and text analysis, and the ability to detect common semantic relationships between and among data sources that update and refresh, at least daily, for a near real-time picture of DoD business operations.

5.2 Software-as-a-Service Platform Technical Requirements 5.2.1 Platform Access 5.2.1.1

SaaS platform solution should provide the Government with individual, end-user access to view data from automated, data-science generated analytic frameworks for evaluating federal and commercial marketplace views.

5.2.1.2

SaaS platform solution should provide Application Program Interface (API) access to metadata, complete constructed datasets, or files and transactions.

5.2.2 Scalability and Hosting 5.2.2.1

Solution must be offered in the cloud as software-as-a-service.

5.2.2.2

Solution should be horizontally scalable, allowing additional user scale, data scale, data complexity, and compute complexity.

5.2.2.3

Solution must deliver 99.99% system uptime independent of scheduled maintenance windows.

5.2.2.4 Solution must incorporate automated backup and disaster recovery.

5.2.2.5

Solution must have distributed data storage via cloud that provides a central location for raw access (input or output).

5.2.2.6

Solution must use a flexible schema or schemaless model for storing arbitrary datasets.

5.2.3 Security and Administration 5.2.3.1

Data in transit from client-to-server or server-to-server must be end-to-end encrypted (via SSL/TLS).

5.2.3.2

Cryptographic secrets must be securely managed.

5.2.3.3

Network must permit only a limited number of gateway servers, limiting the number of potential vectors that could compromise one or more hosts.

5.2.3.4

Administrators must have access to a standardized filesystem layout, allowing them to easily find service information and logs.

5.2.4 User Interface 5.2.4.1.

Intuitive access to virtually all services of the solution must be achievable through a modern web browser.

5.2.4.2

Components that facilitate easy use by both technical and non-technical analysts alike are requisite as part of the solution.

5.2.4.3

Interactive data visualization is a necessary component of the solution.

5.2.5 Search and Exploration 5.2.5.1

Solution should incorporate artificial intelligence-driven concept recommendations that allow users to build and expand searches without deep subject matter knowledge.

5.2.5.2

Solution’s search interface should return analytics rather than transactions as a basis for exploration and discovery.

5.2.5.3

Solution should incorporate robust advanced search capabilities that support multiple combinations of parameters, hierarchies and keywords.

5.2.5.4

Solution must have the ability to save concept searches and other analytic frameworks that are continuously updated with data and without direct user interaction.

5.2.6 Analytics

5.2.6.1

Solution must natively analyze and link datasets through a taxonomic interface.

5.2.6.2

Solution must visualize data and derivative taxonomies in real-time, allowing for more complex questions to be asked and deeper meaning to be uncovered.

5.2.6.3

Platform must have a minimum of six analytic suites, including: a summary market overview, contract analysis, budget analysis, agency analysis, contractor analysis (including sub-contractors), and document analysis. Each suite must facilitate data filtering over time.

5.2.6.4 Solution must support analytics that integrate DoD data with contractor data.

5.2.6.5

Solution must allow for the export of DoD-defined data sets for use in applications external to the Data Mining SaaS platform.

5.2.7 Data Export 5.2.7.1

Software must allow for data export in multiple formats, including .csv and PDF.

5.2.7.2

Both text and images must be exportable.

5.2.7.3

Users must be able to define parameters of export.

5.2.8 Collaboration 5.2.8.1

Software must enable collaboration among users.

5.3 Data Analysis Services 5.3.1 Vendor shall provide experienced data scientists and analysts who have a deep understanding and knowledge of the SaaS platform, DoD data, and requirements. Analysts shall provide analyses based on those requirements and priorities in an on-demand fashion.

5.3.2 Vendor analysts shall be highly trained and experienced in supporting various types of Defense Department analyses.

5.3.3 Vendor shall support analysis of various lines of business such as real property, healthcare, financial services, and cost accounting analyses to assist the DoD in meeting its overall reform goals.

5.3.4 Vendor shall perform specialized analysis to identify redundancies in DoD spending, across multiple portfolios, to identify inefficiencies and increase DoD buying power, among other analyses.

5.3.5 Vendor shall perform analyses to rationalize various DoD investment portfolios, including, but not limited to, its modernization and RDT&E efforts.

5.3.6 Vendor shall identify opportunities to consolidate common functions across contracts within DoD to create economies of scale and efficiencies in services provided by DoD suppliers.

5.3.7 Vendor shall perform analyses to measure successful implementation of the 2018 National Defense Strategy priorities, with data-supported evidence that correlates strategic intent to budget actions, spending and execution, and desired outcomes.

5.4 Data Integration and Curation Requirements 5.4.1 A standardized, normalized, curated, and longitudinally accurate group of relevant government and third-party datasets that are already integrated and available via a mature web-based Software-as-a-Service (SaaS) platform, and include no less than fifteen years of historical base data, must be part of the solution. The platform and the analyses derived from it should provide decision-grade information to the DoD to support comprehensive, taxonomic analyses of the defense enterprise.

5.4.2 Data must be linked rather than merely presented as discrete data sets across, but not limited to, budget, contracting, grants, and spending data to create a clear view of the government, industry, university, and research center landscape, forming the foundation upon which more advanced analysis may be rapidly implemented.

5.4.3 Requisite is advanced data science techniques and technologies such as data standardization, normalization, entity extraction, concept search text analysis, and forecasting with the ability to detect common semantic relationships between and among data sources that update and refresh daily all performed analyses as new information becomes available.

5.4.4 Based on a set of primary keys, linked data must be available to be ingested into DoD systems and organized and analyzed in pre-configured or user-defined taxonomies as required.

5.4.5 Contractor’s SaaS platform must be able to integrate Government-provided data with Contractor metadata that enables linkages between currently siloed DoD systems, e.g., the ability to crosswalk between databases of financial transactions and contracting (and other) data to enrich advanced analyses to create clear views of Government activity.