This document outlines a commercial GEOINT strategy for the National Geospatial-Intelligence Agency (NGA). The strategy aims to harness the growing capabilities of commercial GEOINT providers to deliver imagery, analytics, and other geospatial data and services at the speed of customer decision making. It establishes objectives of enabling timely intelligence and tactical decisions, improving awareness for civil users, and adopting emerging commercial capabilities. Key imperatives include understanding industry evolution, exploring new technologies, acquiring mature capabilities, and institutionalizing commercial sources.
One of a series of new case studies written as Manager of Content Marketing at GoodData.
Discovery Communications was managing an unsustainable model of digital analytics reporting. Supporting 20 internal groups with more than 40 data sources, the team was manually creating reports.
Learn why Discovery chose GoodData to:
- Reduce report generation time from 90% to 20%
- Connect 40 unique data sources with 100s of feeds
- Expose insights to over 20 unique channels and digital properties
Crowdsourcing involves distributing tasks traditionally done by specific agents to a distributed group of people through an open call. It includes volunteered geographic information where individuals voluntarily provide geographic data, and participatory sensing where mobile devices form networks for individuals to gather and share local knowledge. Crowdsourcing provides benefits like gamification, community impact, and career opportunities, and is used for applications like mapping, crisis response, product testing, and gathering real-time energy and transportation data. Issues include ensuring quality, authority, and consistency as knowledge is gathered from diverse non-experts.
[AI Webinar Series P1] - How Advanced Text Analytics Can Increase the Operati...JK Tech
Digitization is considered as the next step-change that will have a bigger impact on businesses than even the internet. To win in the digital journey, companies must act now, or be left behind wondering what happened!
In this webinar series, JKT Smart Analytics demonstrates how they empower their customers to create maximum business value out of this eminent Digital data explosion through digital business empowerment by leveraging the digitization to increase their top-line revenue – customer experience, optimize the bottom-line costs – operational efficiency, enhancing the safety factor and reinventing the business process in line with the changing world.
This webinar is focused on how our AI-based text analytics solutions – First, JKT Social Media Radar; a SaaS-based AI NLP Platform, helping organizations to gain insights on market and customer perceptions on their brands, products & services. Secondly, Sales Promotion Recommendation Engine helps customers to enhance their top-line growth and streamline the bottom-line costs.
KEY TAKEAWAYS:
1) How should a business plan their journey through the Digital data revolution?
2) How can a company make use of digital data to create effective data strategies for the increased outcome(s)?
3) How IT practitioners can catalyst the digital data mining journey and attract business adoption?
4) JKT Social Media Radar solution – What, Why, Supporting Business applications, and more.
5) How can companies reduce operational costs by automating human effort-intensive tasks using cognitive Analytics?
Reincarnating traditional infrastructure outsourcingNIIT Technologies
The document summarizes the decline of traditional infrastructure outsourcing models and the rise of next generation outsourcing providers. Specifically:
- Traditional outsourcing is declining due to dissatisfaction with rigid contracts and finger-pointing between vendors. New customers expect more flexibility and agility from providers.
- Next generation providers are adapting to new technologies and customer expectations by offering flexible, pay-per-use models focused on business value over strict service level agreements.
- A case study example shows how one IT provider delivered a mobile solution that improved a manufacturing client's productivity and customer satisfaction through real-time invoice processing.
Contrive Datum Insights (CDI) is a global market intelligence company that provides business information reports and consulting services. CDI uses proprietary data sources and analytical tools to gather and analyze information on various industries such as chemicals, materials, and technology. CDI offers syndicated research reports and custom consulting services covering market intelligence, sizing, segmentation, strategy, and more. CDI serves major global clients across industries with dedicated account managers and flexible partnership models.
Contrive Datum Insights (CDI) is a market intelligence company that provides global business reports and consulting services. They offer syndicated reports and custom market research covering various industries. Their team of analysts use tools and techniques to gather and analyze information from proprietary data sources. CDI provides forward-looking insights to help businesses make strategic decisions and sustain a competitive advantage. They serve global clients across industries like chemicals, technology, healthcare and more.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
The document provides an overview of the cloud computing business landscape in 2019. Some key points:
- ICT is becoming a general purpose technology and cloud computing will be integral to digital transformation over the next decade.
- By 2025, 85% of enterprise applications will be cloud-based as core applications, AI, and IoT drive cloud migration.
- Companies will be the primary users of cloud technology in the next phase of cloud adoption (Cloud 2.0).
One of a series of new case studies written as Manager of Content Marketing at GoodData.
Discovery Communications was managing an unsustainable model of digital analytics reporting. Supporting 20 internal groups with more than 40 data sources, the team was manually creating reports.
Learn why Discovery chose GoodData to:
- Reduce report generation time from 90% to 20%
- Connect 40 unique data sources with 100s of feeds
- Expose insights to over 20 unique channels and digital properties
Crowdsourcing involves distributing tasks traditionally done by specific agents to a distributed group of people through an open call. It includes volunteered geographic information where individuals voluntarily provide geographic data, and participatory sensing where mobile devices form networks for individuals to gather and share local knowledge. Crowdsourcing provides benefits like gamification, community impact, and career opportunities, and is used for applications like mapping, crisis response, product testing, and gathering real-time energy and transportation data. Issues include ensuring quality, authority, and consistency as knowledge is gathered from diverse non-experts.
[AI Webinar Series P1] - How Advanced Text Analytics Can Increase the Operati...JK Tech
Digitization is considered as the next step-change that will have a bigger impact on businesses than even the internet. To win in the digital journey, companies must act now, or be left behind wondering what happened!
In this webinar series, JKT Smart Analytics demonstrates how they empower their customers to create maximum business value out of this eminent Digital data explosion through digital business empowerment by leveraging the digitization to increase their top-line revenue – customer experience, optimize the bottom-line costs – operational efficiency, enhancing the safety factor and reinventing the business process in line with the changing world.
This webinar is focused on how our AI-based text analytics solutions – First, JKT Social Media Radar; a SaaS-based AI NLP Platform, helping organizations to gain insights on market and customer perceptions on their brands, products & services. Secondly, Sales Promotion Recommendation Engine helps customers to enhance their top-line growth and streamline the bottom-line costs.
KEY TAKEAWAYS:
1) How should a business plan their journey through the Digital data revolution?
2) How can a company make use of digital data to create effective data strategies for the increased outcome(s)?
3) How IT practitioners can catalyst the digital data mining journey and attract business adoption?
4) JKT Social Media Radar solution – What, Why, Supporting Business applications, and more.
5) How can companies reduce operational costs by automating human effort-intensive tasks using cognitive Analytics?
Reincarnating traditional infrastructure outsourcingNIIT Technologies
The document summarizes the decline of traditional infrastructure outsourcing models and the rise of next generation outsourcing providers. Specifically:
- Traditional outsourcing is declining due to dissatisfaction with rigid contracts and finger-pointing between vendors. New customers expect more flexibility and agility from providers.
- Next generation providers are adapting to new technologies and customer expectations by offering flexible, pay-per-use models focused on business value over strict service level agreements.
- A case study example shows how one IT provider delivered a mobile solution that improved a manufacturing client's productivity and customer satisfaction through real-time invoice processing.
Contrive Datum Insights (CDI) is a global market intelligence company that provides business information reports and consulting services. CDI uses proprietary data sources and analytical tools to gather and analyze information on various industries such as chemicals, materials, and technology. CDI offers syndicated research reports and custom consulting services covering market intelligence, sizing, segmentation, strategy, and more. CDI serves major global clients across industries with dedicated account managers and flexible partnership models.
Contrive Datum Insights (CDI) is a market intelligence company that provides global business reports and consulting services. They offer syndicated reports and custom market research covering various industries. Their team of analysts use tools and techniques to gather and analyze information from proprietary data sources. CDI provides forward-looking insights to help businesses make strategic decisions and sustain a competitive advantage. They serve global clients across industries like chemicals, technology, healthcare and more.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
The document provides an overview of the cloud computing business landscape in 2019. Some key points:
- ICT is becoming a general purpose technology and cloud computing will be integral to digital transformation over the next decade.
- By 2025, 85% of enterprise applications will be cloud-based as core applications, AI, and IoT drive cloud migration.
- Companies will be the primary users of cloud technology in the next phase of cloud adoption (Cloud 2.0).
VergilTM is a data analysis tool that provides "High-Definition Analytics" to gain better insights from large amounts of data. It can consider more data factors than other tools and uses different data types together. VergilTM explains its predictions and constantly updates them based on changing conditions. This allows companies using VergilTM to identify the specific actions that will optimize outcomes. Case studies show how VergilTM helped companies increase revenues and reduce costs by determining the best product investments and marketing strategies based on comprehensive data analysis.
This document discusses analytics and information architecture. It begins by describing how analytics workloads are moving away from data warehouses to more specialized platforms. It then discusses what distinguishes analytics from reporting, including that analytics involve complex summaries of information and linking analyses to business actions. The document examines various data platforms used for analytics and contends that ParAccel Analytic Database is well-suited for analytics workloads due to its columnar structure, compression, SQL support, and ability to utilize Hadoop data without replication. It concludes by proposing an information architecture with Hadoop for big data, ParAccel for analytics, and data warehouses for operational support.
Visual Analytics combines human intuition and data science to derive knowledge from the data in a very efficient, effective and easy way. Visual Analytics empowers your people to interact with the data and generate new insights.
The Global Cloud Migration is expected at USD 136.65 Billion in the year 2021 and is predicted to reach USD 539.38 Billion by 2028, with a CAGR of 21.67% over the forecasted period.
This document recommends investing in "new tech" companies focused on security, mobile/social, analytics, and cloud (SMAC) technologies. These areas are seeing high spending priorities and growth. Specifically, it suggests favoring security companies with strong fundamentals in cloud computing and mobile interfaces. Key risks include a sell-off in growth stocks or reduced technology spending from economic concerns.
Big Tech winners in 2015 can be identified as FANG (Facebook/Amazon/Netflix/Google) - The new Morgan Stanley Tech theme for 2016: think SMAC (Security/Mobile/Analytics/Cloud)
This document describes how an international bank used the DATACTIF knowledge generation platform to increase sales of investment products. DATACTIF was used to cluster credit card owners into groups based on their transaction patterns. These clusters provided insights into customers' financial profiles and spending behaviors. DATACTIF then predicted which clusters would be most interested in various banking products like loans and mortgages. This allowed the bank to target specific customer segments for marketing campaigns. DATACTIF's predictive models achieved 41% accuracy for investment products and 78% for personal loans. The combined clustering and prediction results helped the bank develop long-term strategies to boost product sales.
Customer feedback is when a customer tells you something about what they want or need. This information can be good or bad. It helps keep track of the quality and often forces the company to come up with new products to meet customer needs. Digital software has replaced the old ways of putting together feedback. Procedures for getting feedback help small businesses grow, manage their internal structures better, and use their resources at the right time.
In order to grow a business, you need to know how important customer feedback is. Since the current market is driven by what customers want, their thoughts and ideas are important if you want to stay in business. It helps businesses run more smoothly and make better products. Getting feedback from customers or collecting data in a passive way has been around for a very long time. With the development of the Internet, especially after the end of the Cold War, getting feedback is now easy and cheap.
Augmented analytics uses machine learning and natural language generation to automate insights from data. It is expected to disrupt the growing data analytics market as platforms mature. The global augmented analytics market is projected to grow at a CAGR of 44.9% from 2018 to 2023. While current solutions are nascent, adoption is expected to grow exponentially in coming years as tools become more accessible. Major tech companies are leading in augmented analytics with startups also developing innovative platforms.
CWIN17 New-York / Navigating the age of digital disruptionCapgemini
The document discusses the imperative for businesses to rapidly innovate in response to macro trends impacting consumers and technology trends impacting businesses. It outlines key considerations for future-proofing businesses and unlocking value from past investments. Specifically, it recommends defending valuable parts of the value chain, better understanding profitable customer segments, and leveraging digital technologies to empower employees and maximize value. The document also provides examples of frugal and disruptive innovation approaches like open innovation and engaging partners to augment capabilities.
This document discusses how a big box retailer utilized big data to improve its business. It outlines the steps the retailer took:
1) It identified where big data could create advantages, such as predictive analytics to forecast sales declines. This would allow the retailer to be more proactive.
2) It built future capability scenarios to determine how to leverage big data, such as using social media data to predict problems.
3) It defined the benefits and roadmap for implementing big data, including investing millions over 5 years for a positive return. Benefits would include more consistent, faster information and insights.
The document provides details on how the retailer methodically planned and aligned its big data strategy to its business needs
This document discusses supply chain planning and provides strategies for improving it. It notes that supply chain planning is challenging due to issues like a lack of skills, poor quality data, functional silos, and outdated technologies. The impact of poor planning can be severe and include lower fill rates, more premium shipping, and reduced profits. It reviews options for new planning tools and techniques like AI, analytics, and autonomous planning. Finally, it argues that world-class supply chain planning requires aligning capabilities with corporate strategy, integrating planning vertically and horizontally, using IoT and digital tools, and establishing clear governance. The document promotes GEP as a partner that can help with digital planning, integrated business planning, and deploying tailored solutions.
Blockchain Audit Use Cases For All Types of IndustriesPrashantAU2
The document outlines a GTM strategy for QuillAuditTM, beginning with defining the target audience as startups, BFSI, healthcare, and media firms seeking to reduce risks from smart contracts. The strategy involves direct and partner channels to reach these segments. It proposes building awareness through content and events, evaluating prospects through the sales cycle, and providing solutions tailored to consumer needs like quick results and uninterrupted operations. Partnerships are seen as crucial to gain scale, credibility and support delivery. The strategy aims to balance risks in emerging tech with addressing customer needs.
This document discusses digital transformation strategies for businesses. It covers several topics:
1. It outlines BCG's four-phase approach to digital transformation: education, clarification, acceleration, and scaling up projects. This helps companies integrate new technologies and prepare for future innovations.
2. It also discusses an IBM study that found customer experience should be the central focus of digital transformation, not just products or processes. Data and cognitive processes can be used to better understand customers and adapt interactions accordingly.
3. IBM's pillars for supporting digital transformation are also summarized: design thinking, platforms, academies, and factories to experiment, innovate and industrialize digital changes.
Media industry solution structured and unstructured data - social media et ...ebreger
A media agency helps clients communicate with consumers through channels like advertising, PR, and digital media. The agency collects data from many sources to analyze campaign performance, but current reporting processes are labor-intensive. Corbus proposes automating data collection and reporting through a centralized data warehouse and business intelligence solution to save time and improve insights. This would allow the agency to be more strategic and provide better client service.
Global Aviation Digital Maps Software Market.pptKarlSmith86
A recently published research report by MarkNtel Advisors reveals compelling findings on the growth potential of the Global Aviation Digital Maps Software Market Size, Share, Growth, Demand, And Future FY2028. The report projects a robust expansion of approximately 6.51% CAGR during the period of 2022-27. Employing comprehensive analytical techniques, the researchers have meticulously examined market dynamics, presenting an array of statistical data spanning the historic years 2017-20 and the base year 2021.
Wind Tre has established a Big Data & Analytics unit to drive the company's evolution toward becoming more data-driven by developing advanced data science use cases for revenue increase, cost optimization, and transforming decision making processes. The company is also collaborating with government agencies like ISTAT by providing mobile data to help with projects like population estimates and mobility analysis, and participating in data science challenges to enrich its internal data assets. Wind Tre's approach involves translating business objectives into machine learning and analytics use cases to generate value from big data.
This document provides an analysis of Google Analytics data and documentation needs for two websites - a marketing site and membership portal. It identifies several issues with the Google Analytics implementation including inconsistent properties/views, discrepancies between data sources, inconsistent UTM tracking conventions, and default attribution problems. Recommendations are provided to resolve these issues such as consolidating to a single view, publishing documentation on tracking conventions, implementing UTM best practices across partners, and reviewing attribution models. The document aims to improve Google Analytics as a reliable data source for performance analysis, attribution, and reporting across the program.
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
VergilTM is a data analysis tool that provides "High-Definition Analytics" to gain better insights from large amounts of data. It can consider more data factors than other tools and uses different data types together. VergilTM explains its predictions and constantly updates them based on changing conditions. This allows companies using VergilTM to identify the specific actions that will optimize outcomes. Case studies show how VergilTM helped companies increase revenues and reduce costs by determining the best product investments and marketing strategies based on comprehensive data analysis.
This document discusses analytics and information architecture. It begins by describing how analytics workloads are moving away from data warehouses to more specialized platforms. It then discusses what distinguishes analytics from reporting, including that analytics involve complex summaries of information and linking analyses to business actions. The document examines various data platforms used for analytics and contends that ParAccel Analytic Database is well-suited for analytics workloads due to its columnar structure, compression, SQL support, and ability to utilize Hadoop data without replication. It concludes by proposing an information architecture with Hadoop for big data, ParAccel for analytics, and data warehouses for operational support.
Visual Analytics combines human intuition and data science to derive knowledge from the data in a very efficient, effective and easy way. Visual Analytics empowers your people to interact with the data and generate new insights.
The Global Cloud Migration is expected at USD 136.65 Billion in the year 2021 and is predicted to reach USD 539.38 Billion by 2028, with a CAGR of 21.67% over the forecasted period.
This document recommends investing in "new tech" companies focused on security, mobile/social, analytics, and cloud (SMAC) technologies. These areas are seeing high spending priorities and growth. Specifically, it suggests favoring security companies with strong fundamentals in cloud computing and mobile interfaces. Key risks include a sell-off in growth stocks or reduced technology spending from economic concerns.
Big Tech winners in 2015 can be identified as FANG (Facebook/Amazon/Netflix/Google) - The new Morgan Stanley Tech theme for 2016: think SMAC (Security/Mobile/Analytics/Cloud)
This document describes how an international bank used the DATACTIF knowledge generation platform to increase sales of investment products. DATACTIF was used to cluster credit card owners into groups based on their transaction patterns. These clusters provided insights into customers' financial profiles and spending behaviors. DATACTIF then predicted which clusters would be most interested in various banking products like loans and mortgages. This allowed the bank to target specific customer segments for marketing campaigns. DATACTIF's predictive models achieved 41% accuracy for investment products and 78% for personal loans. The combined clustering and prediction results helped the bank develop long-term strategies to boost product sales.
Customer feedback is when a customer tells you something about what they want or need. This information can be good or bad. It helps keep track of the quality and often forces the company to come up with new products to meet customer needs. Digital software has replaced the old ways of putting together feedback. Procedures for getting feedback help small businesses grow, manage their internal structures better, and use their resources at the right time.
In order to grow a business, you need to know how important customer feedback is. Since the current market is driven by what customers want, their thoughts and ideas are important if you want to stay in business. It helps businesses run more smoothly and make better products. Getting feedback from customers or collecting data in a passive way has been around for a very long time. With the development of the Internet, especially after the end of the Cold War, getting feedback is now easy and cheap.
Augmented analytics uses machine learning and natural language generation to automate insights from data. It is expected to disrupt the growing data analytics market as platforms mature. The global augmented analytics market is projected to grow at a CAGR of 44.9% from 2018 to 2023. While current solutions are nascent, adoption is expected to grow exponentially in coming years as tools become more accessible. Major tech companies are leading in augmented analytics with startups also developing innovative platforms.
CWIN17 New-York / Navigating the age of digital disruptionCapgemini
The document discusses the imperative for businesses to rapidly innovate in response to macro trends impacting consumers and technology trends impacting businesses. It outlines key considerations for future-proofing businesses and unlocking value from past investments. Specifically, it recommends defending valuable parts of the value chain, better understanding profitable customer segments, and leveraging digital technologies to empower employees and maximize value. The document also provides examples of frugal and disruptive innovation approaches like open innovation and engaging partners to augment capabilities.
This document discusses how a big box retailer utilized big data to improve its business. It outlines the steps the retailer took:
1) It identified where big data could create advantages, such as predictive analytics to forecast sales declines. This would allow the retailer to be more proactive.
2) It built future capability scenarios to determine how to leverage big data, such as using social media data to predict problems.
3) It defined the benefits and roadmap for implementing big data, including investing millions over 5 years for a positive return. Benefits would include more consistent, faster information and insights.
The document provides details on how the retailer methodically planned and aligned its big data strategy to its business needs
This document discusses supply chain planning and provides strategies for improving it. It notes that supply chain planning is challenging due to issues like a lack of skills, poor quality data, functional silos, and outdated technologies. The impact of poor planning can be severe and include lower fill rates, more premium shipping, and reduced profits. It reviews options for new planning tools and techniques like AI, analytics, and autonomous planning. Finally, it argues that world-class supply chain planning requires aligning capabilities with corporate strategy, integrating planning vertically and horizontally, using IoT and digital tools, and establishing clear governance. The document promotes GEP as a partner that can help with digital planning, integrated business planning, and deploying tailored solutions.
Blockchain Audit Use Cases For All Types of IndustriesPrashantAU2
The document outlines a GTM strategy for QuillAuditTM, beginning with defining the target audience as startups, BFSI, healthcare, and media firms seeking to reduce risks from smart contracts. The strategy involves direct and partner channels to reach these segments. It proposes building awareness through content and events, evaluating prospects through the sales cycle, and providing solutions tailored to consumer needs like quick results and uninterrupted operations. Partnerships are seen as crucial to gain scale, credibility and support delivery. The strategy aims to balance risks in emerging tech with addressing customer needs.
This document discusses digital transformation strategies for businesses. It covers several topics:
1. It outlines BCG's four-phase approach to digital transformation: education, clarification, acceleration, and scaling up projects. This helps companies integrate new technologies and prepare for future innovations.
2. It also discusses an IBM study that found customer experience should be the central focus of digital transformation, not just products or processes. Data and cognitive processes can be used to better understand customers and adapt interactions accordingly.
3. IBM's pillars for supporting digital transformation are also summarized: design thinking, platforms, academies, and factories to experiment, innovate and industrialize digital changes.
Media industry solution structured and unstructured data - social media et ...ebreger
A media agency helps clients communicate with consumers through channels like advertising, PR, and digital media. The agency collects data from many sources to analyze campaign performance, but current reporting processes are labor-intensive. Corbus proposes automating data collection and reporting through a centralized data warehouse and business intelligence solution to save time and improve insights. This would allow the agency to be more strategic and provide better client service.
Global Aviation Digital Maps Software Market.pptKarlSmith86
A recently published research report by MarkNtel Advisors reveals compelling findings on the growth potential of the Global Aviation Digital Maps Software Market Size, Share, Growth, Demand, And Future FY2028. The report projects a robust expansion of approximately 6.51% CAGR during the period of 2022-27. Employing comprehensive analytical techniques, the researchers have meticulously examined market dynamics, presenting an array of statistical data spanning the historic years 2017-20 and the base year 2021.
Wind Tre has established a Big Data & Analytics unit to drive the company's evolution toward becoming more data-driven by developing advanced data science use cases for revenue increase, cost optimization, and transforming decision making processes. The company is also collaborating with government agencies like ISTAT by providing mobile data to help with projects like population estimates and mobility analysis, and participating in data science challenges to enrich its internal data assets. Wind Tre's approach involves translating business objectives into machine learning and analytics use cases to generate value from big data.
This document provides an analysis of Google Analytics data and documentation needs for two websites - a marketing site and membership portal. It identifies several issues with the Google Analytics implementation including inconsistent properties/views, discrepancies between data sources, inconsistent UTM tracking conventions, and default attribution problems. Recommendations are provided to resolve these issues such as consolidating to a single view, publishing documentation on tracking conventions, implementing UTM best practices across partners, and reviewing attribution models. The document aims to improve Google Analytics as a reliable data source for performance analysis, attribution, and reporting across the program.
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
3. 2
NGA’s customers require a broad range of services, including the delivery of geo-referenced imagery and data,
Foundation GEOINT products and services, and intelligence analysis. Increasingly, many customers operate on
dramatically reduced timelines, driving a need for persistence—collection at the speed of the observable—from
multiple sources. Accordingly, some customers are now willing to consider a trade of confidence level for speed, in
order to support both operational and policy decision cycles. NGA needs to meet these new customer desires as well
as the traditional requirement for high-confidence analysis.
To meet these new customer needs and the continually increasing level of traditional ones, NGA is adopting a new
Commercial GEOINT Strategy. This strategy will foster a more diverse, resilient, agile, and responsive GEOINT program
that provides seamless user access to the best mix of commercial GEOINT (including imagery, analytic products
and services, and contextual information and knowledge) to fulfill National System for Geospatial-Intelligence
(NSG) and Allied System for Geospatial-Intelligence (ASG) mission needs. The remote-sensing industry’s evolving
global coverage, rapid revisit rates, diverse spectral content, aggregation of open source venues, and growing
analytic capabilities will allow NGA to “embrace emergent commercial capabilities with the same dynamism that we
embraced National Technical Means (NTM) decades ago.”1
Director Cardillo’s 2015 NGA Strategy addresses increased customer demand for actionable GEOINT services
and new opportunities for using geospatial big data analytics to answer our hardest questions. Flowing from the
NGA strategy, a forthcoming NGA GEOINT Concept of Operations (CONOPS) will highlight NGA’s commitment to
harnessing unclassified sources of GEOINT as the foundation for global awareness and persistence. The explosion
and diversity of unclassified sources provides exploitation opportunities that can deliver greater background and
context to enhance the focus of our national assets against hard problems and knowledge gaps. NGA requires a
seamless integration of all GEOINT, regardless of source or classification, to enable anticipatory analysis and to
create online, living knowledge that reduces the time between questions and answers—thereby providing faster and
more consequential impact. NGA’s plan for harnessing unclassified GEOINT spans all domains—space, air, surface,
subsurface, and cyber2
—and relies heavily upon commercial providers bringing their unique data, services, and
rapid innovation together to strengthen the value of GEOINT.
Today, commercial sources are critical to NGA’s mission success, and their importance will only increase into
the future. The increased global coverage these sources provide is a key enabler for persistent GEOINT and the
sheer numbers of commercial satellites and satellite operators will increase the collective resiliency of overhead
architectures. Furthermore, multiple companies, operating independently, with geographically dispersed downlink
and ground architectures will significantly increase collective commercial diversity, providing resiliency on the
ground as well. Many of the emerging commercial providers are also planning extensive contextual and analytic
capabilities, integrating information from remote sensing, social, economic, and other sources into new product
classes. These multiple approaches using varying sources to provide analysis against specific problem sets also
contributes to overall resiliency.
This Commercial GEOINT Strategy establishes a roadmap for preparing the community and workforce for new sources,
instantiates new, more agile acquisition models, and integrates the commercial sources to provide easy customer
access. This strategy will enable NGA to move toward: greater unclassified operations; more production and
publication of unclassified intelligence; and the augmentation of unclassified intelligence with classified sources
when required.
1
D/NGA Spark Blog post: “Raising the bar together.” 3 April 2015.
2
Persistent GEOINT Concept of Operations (CONOPS) for the 2022 Era
VISION COMMERCIAL GEOINT: DELIVERED AT THE SPEED OF
DECISION MAKING. BUILT INTO OUR BUSINESS.
4. 3
NGA must harness the rising bow wave of persistence
from established and emerging commercial GEOINT
providers to deliver an expanding spectrum of
GEOINT offerings (imagery, open source, analytic
products, and other services) at the speed of decision
making. As commercial GEOINT offerings evolve
from just pixels to imagery-based analytics, most
commonly delivered as services, NGA will capitalize
on this commercial revolution (see Figure 1). This
will allow its workforce to transform their tradecraft
from traditional reconnaissance imagery analysis,
which is becoming increasingly commoditized, to a practice of geospatial analysis applied to a fast-flowing stream
of big and increasingly diverse commercial and national data sources. By exploiting a continually expanding suite
of commercial data extraction, processing and reporting services, NGA analysts will increase their ability to exploit
commercial GEOINT within the decision cycles of our intelligence, tactical, and Foundation GEOINT customers.
Domestic and foreign companies are using lower cost development approaches to deliver unprecedented revisit
rates through constellations of satellites that, collectively, number in the hundreds. NGA will achieve a dramatic
transformation by harnessing this ongoing increase in persistence, and the growing demand for business intelligence
built on that persistence, by using commercial GEOINT in ways that have never before been possible.
This Commercial GEOINT Strategy deliberately establishes an environment that allows us to discover and answer
these questions, it helps us identify and meet these challenges and it ensures we continually improve our
consequence to our customers.
Figure 1: NGA commercial GEOINT strategy supports the migration from acquisition of just raw
data such as pixels and imagery to analytic and contextual products.
The questions that arise from the
persistence of geospatial data streaming
from hundreds of overhead platforms
covering the earth multiple times a day
are staggering. The challenges of taking
advantage of all that data are daunting.”
– Director Cardillo to the House Armed Services
Committee on Strategic Forces on 25 March 2015
5. 4
NGA’s Commercial GEOINT Strategy articulates both customer-focused objectives and a set of implementation
imperatives that guide the actions necessary to achieve these objectives.
Customer Consequence Objectives:
• Enable our intelligence customers to make informed decisions in operationally relevant timelines by supplying
increasingly diverse imagery, intelligence products and services.
• Minimize uncertainty, reduce loss of life and improve mission success for our tactical customers by providing
timely and relevant commercial data, information and knowledge—provided where they need it, in a form and in
domains where they can readily consume and share it.
• Improve awareness, insight, and understanding for our many Foundation GEOINT customers by supplying
increasingly persistent and diverse commercial data streams, Foundation products, and services that enable
Map of the World’s feature-rich GEOINT on demand, as well as other vectors of Foundation GEOINT.
The following implementation imperatives establish an adaptive framework that moves smoothly with, and profits
from, what Mr. Cardillo has characterized as the “Seismic Shift” that will continue in the GEOINT industry. Focusing
our implementation of this Strategy on the ever-evolving needs of our customers is essential to NGA’s success.
Implementation Imperatives:
• Learn and understand the evolution of the commercial GEOINT industry as it occurs through a collaborative
relationship network that: engages and informs our industry partners; become a force multiplier for our
government partners; and ensures we satisfy the evolving needs of our customers in a timely manner.
• Explore, experiment, and evaluate commercial GEOINT data and products, analytic services, and knowledge
building methodologies as they evolve, to discover the art of the possible, the reality of their potential, and the
feasibility of integrating them into the NSG and ASG.
• Acquire and deliver mission relevant commercial GEOINT capabilities that are sufficiently mature and can be
efficiently integrated—always with the goal of improving mission success for NGA’s customers and adapting to
their evolving needs.
• Adopt and institutionalize commercial GEOINT capabilities as a core component of our mission-driven
operations.
These implementation imperatives support all of NGA’s intelligence, defense, and civil support missions. Inherent
in these objectives and initiatives is the assurance that NGA’s information technology infrastructure will be prepared
and able to integrate these evolving GEOINT sources and data streams. Exploration, experiments, and evaluation
of commercial GEOINT sources will provide not just assessments of the utility of the sources, but will also
provide technical requirements for integration: volumetrics, throughputs, metadata definitions, and other related
specifications necessary to prepare for efficient and easy customer access.
Importantly, this Commercial GEOINT Strategy also ensures that NGA continues to support ongoing Foundation
GEOINT and intelligence commercial GEOINT needs during a period of both rapid industry change and the
transformation of NGA. Commercial GEOINT will pave the way for our architecture, processes, and tradecraft to rely
predominately on unclassified data and services.
STRATEGY
6. 5
All of the implementation imperatives below inform and shape the future acquisition approaches for Commercial
GEOINT. These acquisition approaches—what NGA buys and how it buys it – must deliberately evolve as the new
Commercial GEOINT industry evolves, grows, and matures.
NGA’s future acquisitions must accommodate two realities that are in dynamic tension: (1) real innovation is fueled
by diversity, and (2) fiscal resources have become more constrained and will remain so. In addition, Commercial
GEOINT acquisition must be agile. Agility ensures that our acquisitions keep pace with the rate of industry
innovation and can change course—as warranted—as the industry evolves. In order to procure emerging commercial
GEOINT capabilities that better meet our mission needs, we must also remain agile enough to readily divest
ourselves of less effective capabilities. Likewise, as we capitalize on increasingly diverse commercial capabilities, we
must also leverage opportunities to increase resilience.
The implementation imperatives in this strategy consist of four distinct, but interweaving “lanes” of action. While
actions in one lane may necessarily precede actions in another, all of these lanes are continuously moving forward.
In fact, NGA is already engaged in several initiatives across the Agency and the GEOINT community that fit into
these lanes. This Commercial GEOINT Strategy, along with defining new actions, establishes the interrelationship
between those existing initiatives and the path forward for the systematic integration of new commercial capabilities
into the GEOINT enterprise.
The “seismic shift” will not subside; rather the pace of evolution in the commercial GEOINT industry will likely
accelerate. Keeping pace with this evolution, living with continuous change, and adapting or adopting those
emerging capabilities that can best improve consequence for GEOINT customers will remain the core of NGA’s
normal operations.
Implementation Imperative 1:
Learn and understand the evolution of the commercial GEOINT industry as it occurs, through a network of
collaborative efforts that engage and inform our industry partners, becomes a force multiplier for our government
partners, and ensures NGA satisfies the evolving needs of our customers in a timely manner.
NGA must adopt and maintain a proactive, but not prescriptive posture regarding advances in the commercial
GEOINT industry and with technology advances in general. We will expand our current engagement with industry
to improve their understanding of NGA’s needs, and influence them as appropriate in order to shape the GEOINT
future. NGA’s messaging to industry will be spearheaded by the Agency’s senior Industry Innovation Advocate. In
addition, the execution of the commercial GEOINT strategy will remain closely aligned with the goals and direction
of senior leadership (e.g., the GEOINT Solutions Marketplace initiative).
We will engage with our NSG/ASG stakeholders and customers continuously. We will actively collaborate with those
partners and customers who are currently developing their own strategies for understanding and capitalizing on
emerging commercial GEOINT capabilities. We will draw on their lessons learned, as well as our own, to inform
our commercial GEOINT acquisition approach - which must necessarily evolve as the industry itself evolves and
matures. Doing so provides many bilateral benefits. We multiply the return on our respective investments in
developing knowledge capital, and NGA benefits from direct insight into our customers’ perspectives. Open, early
communication and honest exploration of issues—including fiscal constraints—provides a transparency that instills
in our customers a sense of confidence, knowing that NGA hears and is responsive to their voices.
Our engagement with industry, hand-in-hand with our mission partners, will be just as open and transparent.
We will gain deep understanding of emerging providers’ business models, capability and deployment schedules,
and targeted markets. Our engagements with industry will vary widely, because each company is unique and
continuously evolving. We will collaboratively explore opportunities to partner with these emerging providers, seeking
to discover the best alignment between our mission needs and their business objectives. Honest and early exchanges
THE PATH IMPLEMENTING GREATER
CONSEQUENCE
7. 6
will ensure NGA develops sufficient understanding of the emerging provider to assess the value of their continued
engagement. Commercial GEOINT providers will similarly benefit from an early understanding of NGA’s mission
needs, interest, and contractual boundaries. Armed with this insight, companies can make better informed decisions
whether or not to align their own capital investments with NGA’s needs. It is inevitable that, in some cases, there
will be insufficient business incentives for continued engagement with NGA.
Importantly, NGA must also inform and collaborate with oversight and policy makers. The ability of commercial
GEOINT providers—especially satellite operators—to be effective and responsive mission partners requires
governmental policies that do not hamper innovation. Equally important is a common understanding that our
budgetary decisions also drive how well industry perceives NGA as a partner.
These engagements, coupled with the technical evaluation approaches outlined in Implementation Imperative 2
below, underpin the NGA Director’s objective to develop successful partnerships. The success of the partnerships
between NGA and the emerging commercial GEOINT companies will depend on mutual transparency and openness
to all sources that add insight. This will ensure that we are able to excel in the open.
Implementation Imperative 2:
Explore, experiment, and evaluate commercial GEOINT data sources, analytic services, and knowledge building
methodologies as they evolve, to discover the art of the possible, the reality of their potential, and the feasibility of
integrating them into the NSG and ASG.
A critically important first step in identifying important waypoints in the commercial GEOINT Strategy roadmap is
to review the quickly evolving commercial/open GEOINT landscape and determine the best ways to operationally
integrate the capabilities of multiple companies in this industry. We will develop a deep understanding of their
technical capabilities, products, and services, and build an early, well-informed assessment of their applicability
to NGA’s mission needs and compatibility with our CONOPS. Developing this knowledge requires that we acquire
pre-operational test and evaluation data and services, which NGA will use to assess operational utility, identify
integration issues, and explore new tradecraft possibilities.
NGA will not execute these assessments
independently. Rather, we will collaborate with
other community initiatives to develop a cohesive
cross-community understanding of needs,
capabilities, and possibilities. In addition, NGA
will launch a series of “NGA Director Challenges”
that engage the NGA workforce to explore a
broader scope of foundation and intelligence
mission requirements to discover “what questions
to even ask.” Through participation in these
challenges, the NGA workforce will become an
agent and advocate for transformation.
NGA will consolidate the experience and
knowledge our analysts, community partners, and
customers gain as they work with pre-operational
products and services, and use this knowledge
to better shape future operational commercial
GEOINT acquisitions. Figure 2 depicts the force
multiplying effect of such collaboration between
several current unclassified initiatives. Figure 2: Collaboration between unclassified initiatives, the
assessment of commercial GEOINT capabilities, and the
industry shape future operational GEOINT acquisition.
8. 7
NGA will also collaborate with similar assessment teams in the classified environment who are investing in research
and development, like the Advanced Campaign Cell and the Washington Innovation Center.
Importantly, these assessments will be iterative because the commercial GEOINT industry is evolving rapidly and will
continue to do so for the foreseeable future. The assessments are designed as short term (~90 day) investigations
into the capabilities of the most mature of Commercial GEOINT providers. These technical assessments, along with
the deep, honest dialogues outlined in Implementation Imperative 1, will establish and maintain forward momentum
on the D/NGA’s priority for industry interaction:
“We must embrace emergent capabilities with the same dynamism that we embraced NTM decades ago. We have to
engage the private sector as partners, not serial providers. And we have to think about what the GEOINT enterprise
can provide, not just what NGA can provide.” 4
Implementation Imperative 3:
Acquire and deliver mission relevant commercial GEOINT capabilities that are sufficiently mature and can be
efficiently integrated—always with the goal of improving mission success for NGA’s customers and adapting to their
evolving needs.
The continuing technological evolution and increasing diversity of the industry over the next decade require that
NGA’s acquisition approach remain both agile and adaptable. Our contractual relationships with providers will vary
depending on their product/service offerings, business models, evolving customer requirements, and the analytic
tradecraft analysts develop and implement using Commercial GEOINT.
The actions executed in both Implementation Imperatives 1 and 2 will contribute substantively to the evolution
of NGA’s acquisition approach to Commercial GEOINT during the coming decade. Customer needs, technical
assessments, and maturing capabilities will drive our Commercial GEOINT acquisition priorities. Mission relevance,
volumetric need, form of delivery (product or service), business model, and NSG/ASG integration requirements will
all drive Commercial GEOINT contractual approaches.
NGA will use a structured, evolutionary approach in adopting and adapting Commercial GEOINT capabilities as
they evolve. Our pre-operational assessments (both business and technical) and customer engagements will identify
those capabilities that will be targeted for initial operational acquisition. As industry’s capabilities mature and NGA
learns from early operational use, acquisition plans will be changed to acquire new capabilities and to better align
our acquisitions with our customers’ requirements. Ultimately, this will result in a cohesive commercial GEOINT
acquisition approach that establishes resilient and enduring partnerships between NGA and industry.
Implementation Imperative 4:
Adopt and institutionalize commercial GEOINT capabilities as a core component of NGA’s mission-driven operations.
Most of the actions to achieve this imperative require participation across NGA directorates and offices.
Representative activities include modifying architectures, codifying tradecraft and processes that use new forms
of commercial GEOINT, developing the training programs that enable the transformation of NGA’s workforce, and
implementing successful change management efforts. We will ensure that these organizations’ leadership: are
members of our stakeholder coalition; participate in pre-operational assessments; and embrace the transformation
principles that NGA’s Director has articulated.
4
D/NGA Spark Blog post: “Raising the bar together.” 3 April 2015.
9. 8
Customer Objective 1:
Enable our intelligence customers to make informed decisions in operationally relevant timelines by supplying
increasingly diverse imagery, intelligence products, and services.
Traditionally, the NGA workforce exploited raw imagery data (e.g. pixels) by performing analytic processes to
extract information, supply context, and provide consequence through the production of intelligence reporting and
Foundation GEOINT products. Today, rapidly emerging commercial providers are building significant capability to
distill raw data for themselves from multiple sources into first order imagery analytics. The Commercial GEOINT
strategy capitalizes on this rapidly growing, commercially available capability, so that the NGA workforce can focus
on creating coherence from chaos, by developing tradecraft that can “detect patterns of activity, interpret behaviors,
create insight and understanding from the tsunami of data, and enable decision advantage for our customers.”3
This strategy enables a workforce and work role transformation by establishing an enduring NGA engagement with
commercial GEOINT providers. This will ensure that we quickly identify and validate the most mission relevant
industry capabilities, readily adapt to their use, and forge resilient industry partnerships. Doing so delivers the
following outcomes:
• NGA analysts will continuously evolve and apply models of our national security problems and apply deep
contextual analytics to massive collections of geo-referenced observations that we obtain from a multitude of
traditional, open and commercial sources.
• The NGA workforce will maintain and continuously evolve their expertise and tradecraft to apply exquisite NTM
capabilities against the hardest intelligence problems.
• NGA and its IC GEOINT partners will achieve an allocation of requirements between NTM and commercial
capabilities that maintains an appropriate balance of those sources.
• NGA will work collaboratively across industry to encourage a common set of standards, protocols, and formats
that facilitates the ingest of imagery/products from multiple commercial providers. We will maintain insight into
emerging commercial capabilities using an institutionalized, but agile assessment framework that addresses
utility and integration issues proactively.
• The NGA Image Quality and Utility (NIQU) assessment team will employ agile, flexible, and efficient procedures
to certify that commercial imagery and products are sufficiently “fit for purpose.” NGA will be able to respond
to and integrate new products that address our customer needs rather than having to be compliant with rigorous
government specifications.
• In those instances where security risks are acceptable, NGA will establish direct access to commercial providers’
storage and processing environments, enabling our analysts to interact with data at its storage source (“data at
rest”), reducing the storage and processing burden on the NSG and ASG architectures. For those commercial
capabilities that do not flow directly through our architecture, NGA will provide governance for internal users
and guidance for direct customer interaction.
3
D/NGA Speech to 31st Annual Space Symposium, Colorado Springs, CO. 14 April 2015
THE END GAME GREATER CUSTOMER
CONSEQUENCE
10. 9
Customer Objective 2:
Minimize uncertainty, reduce loss of life and improve mission success for our tactical customers by providing timely
and relevant commercial imagery, information, and knowledge – provided where they need it, in a form they can
readily consume.
This strategy ensures that NGA provides responsive services to our customers by working outside the bounds of
the traditional TCPED cycle. For our tactical customers, this will include provisioning commercial imagery, image-
derived analytics and context-based products through non-government internet-based services, commercial relay,
or direct downlink. As global space-based commercial communications networks evolve (e.g., small satellite-based
internet constellations), NGA will seek opportunities to capitalize on emerging high bandwidth service to traditionally
disadvantaged locations to deliver an even broader complement of Foundation GEOINT and intelligence products.
Implementing these responsive GEOINT services ensures the following outcomes:
• Warfighters, first responders, and humanitarian aid providers consider NGA’s provision of timely and relevant
unclassified GEOINT indispensable to their missions.
• NGA will increase its impact as a force multiplier to these many customers, especially those who need shareable
and up-to-date imagery.
• Our customers in harm’s way will have unparalleled situational awareness that is enabled by NGA’s continuous
efforts to improve delivery of the best GEOINT available.
Customer Objective 3:
Improve awareness, insight, and understanding for our many Foundation GEOINT customers by supplying
increasingly persistent and diverse commercial data streams, foundation products, and services that enable Map of
the World’s feature-rich GEOINT on-demand, as well as other vectors of Foundation GEOINT.
Emerging commercial GEOINT capabilities include diverse phenomenologies, rapid revisit imagery collection,
and higher-order downstream GEOINT products and services. NGA will leverage opportunities these commercial
capabilities provide to continuously improve capability, cost, and efficiency of Foundation GEOINT production
and provisioning.
Ensuring that NGA looks increasingly to the commercial sector to provide higher order Foundation GEOINT will
result in the following outcomes:
• NGA will reduce mission costs by divesting from internal and directed Foundation GEOINT production,
leveraging these emerging commercial providers.
• In those instances where NGA continues to directly execute Foundation GEOINT production, commercial
GEOINT will be used to tip and cue change-based foundation imagery collection and GEOINT production in a
way that provides Foundation GEOINT that is: more relevant; high quality; quickly delivered; and cost effective.
11. 10
• Phase 1
Round 1 imagery/products/APIs available to multiple assessment teams, including the Unclassified
GEOINT Pathfinder
Stakeholder “nucleus” identified, enrolled and fully engaged
First “Director’s Challenge” initiated
NextGen CI RFI released and responses received
NIQU Round I Image Quality Assessment
• Phase 2
First “Director’s Challenge” Completed
First “Director’s Challenge” Showcase
Round 2 imagery/product/APIs available to multiple assessment teams, incl. UGP
Second “Director’s Challenge” initiated
Initial operational acquisition contract content/scope identified (NextGen CI)
FY18 POM input submitted (~Jan 16)
NIQU Round 2 Image Quality Assessment
• Phase 3
Second “Director’s Challenge” Completed
Second “Director’s Challenge” Showcase
Round 3 imagery/product/APIs available to multiple assessment teams, incl. UGP
Third “Director’s Challenge” initiated
“Commercial GEOINT 2021” CI way ahead identified
“Commercial GEOINT 2021” Acquisition plan finalized
Initial NextGen CI awards (if FY16 funds available)
NIQU Round 3 Image Quality Assessment
• Phase 4
Initial NextGen CI awards (if FY16 funds NOT available)
“Commercial GEOINT 2021” RFI released and responses received
FY19 POM input submitted (~Jan 17)
NIQU Round 4 Image Quality Assessment
This Commercial GEOINT Strategy provides the roadmap for NGA to harness the unprecedented bow wave of
persistence from commercial GEOINT providers and deliver the full spectrum of commercial imagery products and
services at the speed of decision making.
By pursuing this strategy, in collaboration with our NSG/ASG, Federal civilian, and industry partners, NGA will
establish transparency and trust with our customers and providers. Our end state will be a collaborative coalition
of intelligence and defense stakeholders who, collectively, are agilely responsive, adaptive to future change, and
resilient to threats both in space and on the ground.
KEY MILESTONES
CONCLUSION
13. 12
A number of dependencies have been identified, requiring leadership attention in order to fully implement the vision
of this strategy. A description of these dependencies and the associated risks to successful implementation follows.
NGA Leadership:
NGA Leadership will be critical to driving the desired changes. Driving toward a future that predominately exploits
a broad spectrum of unclassified commercial GEOINT (including imagery, analytic products and services, and
contextual information and knowledge) to satisfy intelligence problems will be a large leap from the current blended
dependence on dedicated national and commercial systems. Furthermore, NGA will also need to exercise this
leadership as the GEOINT Functional Manager to drive acceptance by the wider NSG and ASG communities. Just
as importantly, Agency leaders must embrace the D/NGA Challenges that nurture the growth of leaders from the
workforce, which in turn establishes a supply chain of future Agency leaders that embrace transformation principles.
Risk: If NGA is unable to form and maintain an aligned and sufficiently powerful leadership coalition, it
will not be able to acquire capabilities at the speed of commercial innovation or establish a culture of
transformation in its workforce.
Contracting Processes:
NGA must establish agile and non-traditional contracting processes and vehicles that will enable rapid
establishment of new contractual relationships that enable the USG to keep pace with the commercial rate of
innovation.
Risk: If NGA does not establish a responsive contracting process, it will be unable to acquire capabilities at
the speed of commercial innovation.
Culture:
The NGA workforce at all levels and across all Key Components must embrace a dramatic paradigm shift. The
additional information mined and the efficiencies driven by this information will likely be from new and publicly
available sources. Without a change in the workforce’s mindset, the strategy will not succeed. Early, consequential
success answering Key Intelligence Questions by leveraging commercial GEOINT information and knowledge will be
an important milestone to fostering workforce confidence. Importantly, Agency leaders must encourage and support
workforce participation in initiatives such as the Director’s Challenges, which empower the workforce to become
both agents and advocates of transformation.
Risk: If the workforce resists the transformation to greater integration of commercial data, information, and
knowledge into their daily workflow, NGA will cede its position as the premier provider of GEOINT services.
Institutionalizing Commercial GEOINT:
NGA’s technical architecture, training, tradecraft, and processes have been honed over many decades to make the
most of classified sources. Unclassified GEOINT is used today, but it is an adjunct to our classified sources, and
workflows which use unclassified GEOINT are often more cumbersome. It is not enough to gain access to these
data, products and services. In order to achieve the transformation possible with the emergence of commoditized
unclassified GEOINT, NGA must embrace commercial GEOINT into our core workflows and processes, and make the
necessary upgrades to our technical architecture, training and tradecraft.
Risk: If NGA does not institutionalize the emerging commercial GEOINT capabilities we will not be able to
achieve the transformation necessary to deliver the consequence needed by our customers.
APPENDIX DEPENDENCIES
AND RISKS
14. 13
Resources:
In general, the strategy cannot be implemented within the existing commercial imagery program. Improving our
intellectual capital regarding industry developments, as well as committing USG people resources and the time
necessary to mature transformative process, will be required while we maintain our currently required capabilities.
Risk: If NGA does not make the required near-term investments, we will not be able to realize future
overhead GEOINT program efficiencies.
Integrated Overhead Architecture:
In a fully integrated overhead architecture, national collection capabilities will both drive and be influenced
by commercial capabilities. If commercial GEOINT opportunities are fully leveraged, development of national
capabilities may be targeted to better complement those available from commercial providers. Commercial
capabilities may provide the necessary trade-space to implement architectural solutions that address the hard
problem sets and improve cost, schedule, performance, and resilience of the integrated national/commercial
architecture.
Risk: Unless the USG leverages capabilities offered by commercial providers, the national overhead
architecture will have to make costly investments to support both “commodity” and hard
problem sets.
Commercial Market Forces:
In the absence of appropriate USG engagement driving solutions, market forces will drive commercial offerings
without regard for intelligence or defense value. While global markets will drive the commercial solutions and
innovation, the USG should influence commercial offerings through strategic partnering where warranted.
Risk: Without active engagement with industry the commercial markets may deliver products and services
which are incompatible or not effective for intelligence or defense use.
National Commercial Remote Sensing Policy and Restrictions:
National Security Presidential Directive-27 sets forth a national policy to maintain “the nation’s leadership in
remote sensing space activities” by “sustaining and enhancing the U.S. remote sensing industry.” To accomplish
this goal, the policy directs the USG to rely to the maximum practical extent on U.S. commercial remote sensing
space capabilities for national security purposes and civil mission needs. Commercial providers will not invest in
and develop what they cannot sell. As these products become more ubiquitous, there is a natural tendency for the
intelligence and defense communities to advocate for more restrictions on the availability of the products to the
public. National policy restrictions (current and under consideration) could greatly influence and limit the degree to
which the industry innovates and invests in advanced geospatial intelligence capabilities.
Risk: Overly restrictive licensing and policy could prohibit NSG and ASG access to world-class commercial
imagery and imagery-derived, and analytic and contextual products, ceding development of those
capabilities to competing foreign providers.