The document discusses how combining data across organizations within a sector can create "Sector Advantage". It proposes that a neutral third party like Digital Catapult could host combined data through its Data Catalyser initiative, allowing smaller companies to explore the data and extract value, while maintaining security and competitive advantages for data providers. The Data Catalyser uses technical and legal frameworks to allow innovative data exploration across organizations in a controlled way to enable new opportunities for sector advantage.
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCSTata Consultancy Services
In this opening key note, Ananth shared insights on technologies and trends that are changing the way we view atoms, people, materials, things and data, and how we can prepare ourselves to exploit these new opportunities.
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Innovation Leadership in the Digital Age by K. Ananth Krishnan, VP and CTO, TCSTata Consultancy Services
In this opening key note, Ananth shared insights on technologies and trends that are changing the way we view atoms, people, materials, things and data, and how we can prepare ourselves to exploit these new opportunities.
Data Standardization with Web Data Integration PromptCloud
Before analyzing data aggregated from multiple sources, it is essential to first standardize the datasets. At PromptCloud, we put special emphasis on this process and understand that as a web crawling company, our solution must enable our clients to integrate data efficiently.
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
In short, the HP Vertica Analytics Platform is a massively parallel database that includes the ability to perform analytics many times faster than legacy platforms. With this platform, hands-on IT professionals can load and query large data sets as many as 50 to 1000 times faster, which in return may help lower total cost of ownership over the long term.
Big Data: Real-life Examples of Business Value GenerationCapgemini
This presentation looks at real-world cases of how organizations are using, or planning to use, big data technology to drive value. It looks at the different ways in which the technology is being used in a business context. Examples are drawn from Retail, Telco, Financial Services and Consumer goods.
It also develops a range of business scenarios from simple cost reduction through to new business models specifically looking at how the business case has been built and what value has been realized.
First presented by Richard Brown, Capgemini Program Lead for Business Information Management, at the IP Expo – Big Data Summit 2014.
http://www.capgemini.com/big-data-analytics
IT industry observers and long-time technology editors James Maguire and Chris Preimesberger share their predictions for enterprise IT in the year 2019. Hear their commentary at: http://bit.ly/2RZFhMA
The 2019 predictions cover artificial intelligence, Big Data, data center, cloud computing, and more.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
Enabling Big Data with Data-Level Security:The Cloud Analytics Reference Arch...Booz Allen Hamilton
; Booz Allen’s data lake approach enables agencies to embed security controls within each individual piece of data to reinforce existing layers of security and dramatically reduce risk. Government agencies – including military and intelligence agencies – are using this proven security approach to secure data and fully capitalize on the promise of big data and the cloud.
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
Blockchain - "Hype, Reality and Promise" - ISG Digital Business Summit, 2018 Alex Manders
Blockchain presentation materials from ISG's 2018 Digital Business Summit. Materials address emerging Enterprise trends with Blockchain. Materials link back to Alex's LinkedIn post containing more information behind the presentation: https://www.linkedin.com/pulse/blockchain-transforming-future-economy-recap-2018-alex-paul-manders/
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
A framework that discusses the various elements of Data Monetization framework that could be leveraged by organizations to improve their Information Management Journey.
In short, the HP Vertica Analytics Platform is a massively parallel database that includes the ability to perform analytics many times faster than legacy platforms. With this platform, hands-on IT professionals can load and query large data sets as many as 50 to 1000 times faster, which in return may help lower total cost of ownership over the long term.
Big Data: Real-life Examples of Business Value GenerationCapgemini
This presentation looks at real-world cases of how organizations are using, or planning to use, big data technology to drive value. It looks at the different ways in which the technology is being used in a business context. Examples are drawn from Retail, Telco, Financial Services and Consumer goods.
It also develops a range of business scenarios from simple cost reduction through to new business models specifically looking at how the business case has been built and what value has been realized.
First presented by Richard Brown, Capgemini Program Lead for Business Information Management, at the IP Expo – Big Data Summit 2014.
http://www.capgemini.com/big-data-analytics
IT industry observers and long-time technology editors James Maguire and Chris Preimesberger share their predictions for enterprise IT in the year 2019. Hear their commentary at: http://bit.ly/2RZFhMA
The 2019 predictions cover artificial intelligence, Big Data, data center, cloud computing, and more.
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
Watch full webinar here: https://bit.ly/3szm3PV
In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.
Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations.
They need agile access to information that can be leveraged to make timely business decisions, yet still fulfill the regulatory requirements. In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure.
This webinar presents:
- How data virtualization can help update and modernize data architectures,
- Success stories of financial companies that already use this technology to differentiate themselves from the competition, optimize processes, and create new business opportunities through more agile data management.
Enabling Big Data with Data-Level Security:The Cloud Analytics Reference Arch...Booz Allen Hamilton
; Booz Allen’s data lake approach enables agencies to embed security controls within each individual piece of data to reinforce existing layers of security and dramatically reduce risk. Government agencies – including military and intelligence agencies – are using this proven security approach to secure data and fully capitalize on the promise of big data and the cloud.
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
Blockchain - "Hype, Reality and Promise" - ISG Digital Business Summit, 2018 Alex Manders
Blockchain presentation materials from ISG's 2018 Digital Business Summit. Materials address emerging Enterprise trends with Blockchain. Materials link back to Alex's LinkedIn post containing more information behind the presentation: https://www.linkedin.com/pulse/blockchain-transforming-future-economy-recap-2018-alex-paul-manders/
Em Primeiríssima Mão, É Com imenso prazer que apresento esse maravilhoso Empreendimento Serra Das Areias com Torre única e Apartamentos de 2 ou 3 quartos nas metragens de 61 e 72 m2, respectivamente, com área de lazer completa numa excelente localização próximo ao 2 maior shopping do estado, o Buriti Shopping e com uma ótima relação Custo x benefício e facilidade para aquisição. Parcelas a partir de R$ 533,75
Pricing Innovation for the Digital Economy: Yield Management and Targeted Pri...Vindicia
During this webinar, find out how pricing innovation can fuel revenue growth. You'll learn:
-How to measure revenue yield
-Ways to benchmark performance of your pricing plans
-Techniques for packaging pricing plans based on customer behavior
-How to use data to package and price your licenses
By the end of this session, you will be able to evaluate your own pricing strategy to identify how to analyze pricing plan performance, identify opportunities to improve yield, and increase revenue from your existing customer base.
To hear the audio associated with this webinar, please visit our website: http://info.vindicia.com/Archived-Webinars-Pricing-Innovation.html
El presente proyecto “Dinámica intercultural en la comunidad del Centro poblado de Chacra Cerro - Comas”- Reflexionando y promoviendo las buenas prácticas interculturales, tuvo un interés particular porque suponía una autoevaluación del trabajo de inclusión e interculturalidad que venimos desarrollando en la Institución Educativa L.S. Vigotski. Nos sugería preguntarnos en que medida el trabajo desarrollado con los niños viene repercutiendo o por lo menos siendo conocido por la comunidad del Centro Poblado Chacra Cerro, siendo la escuela la Institución más importante de la comunidad en mención.
This is the Async / Await feature added to .NET in .NET 4.5, specifically...Everything I Wish I Knew When I Started Using It! By avoiding the client side discussions around the UI and parallel processing, we can focus on the environment in which most of us live and have both an introduction and deeper dive into how it all works. This is about how we can all use the feature RIGHT NOW to write better performing code.
5 Must Have VR Strategies for Better GamesNicole Lazzaro
Virtual Reality. From the dawn of time games have always created it. It's the magic circle where we transport our players for a few minutes, a few hours, a few days even years. With today’s new Virtual Reality Headsets and AR Smart Glasses we finally reach the intersection of movie like immersion and the interaction possibilities of games. On one hand Virtual Reality offers an unprecedented theater for engagement on the other it presents more physiological, psychological, and gameplay challenges than all other platform shifts in game’s history combined. The talk presents the 5 most common mistakes VR/AR developers make discovered in XEODesign's year of VR research. We then present practical VR design strategies to overcome them. If you want to ship a VR/AR game and not a barfatorium you must see this talk!
Vision15 - Un caso de estudio en la mejora de los datos organizacionalesAQCLab
Presentación en el congreso Vision15 de ITSMF de un caso de estudio para la mejora de datos organizacionales utilizando ISO 8000, ISO 25012 y MAMD (Modelo de Alarcos para la Mejora de los Datos).
Aftermarket spare parts sales and service is a key, under-developed profit center for manufacturers. Through classification by ABC analysis and the Pareto Rule, bolstered with customer feedback, a company can choose the right IT tool or solution to optimize spare parts pricing.
A maneira como negócios e produtos são apresentados permite que os consumidores julguem suas qualidades e/ou defeitos. Muitas vezes, mesmo sem relação de consumo com o produto, as pessoas formulam julgamentos e os compartilham entre seus conhecidos.
Daí ser importante que a primeira imagem, a primeira impressão, seja adequadamente trabalhada.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
To Become a Data-Driven Enterprise, Data Democratization is EssentialCognizant
To optimise enterprise knowledge, organizations need a modern platform that enables data to be more easily shared, interpreted and capitalized on by internal decision makers and by business partners across the extended value chain.
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
Traveling the Big Data Super Highway: Realizing Enterprise-wide Adoption and ...Cognizant
When it comes to big data, companies need to determine best fit with existing investments and incorporate proven best practices that enable them to run better and run differently.
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
Solving The Data Growth Crisis: Solix Big Data SuiteLindaWatson19
Today’s Chief Information Officer operates in a perfect storm of data growth. Left unchecked data growth negatively impacts application performance, compliance goals and IT costs. Yet, this very same data is the lifeblood of today’s organizations. .
Business Change through Predictive AnalyticsChandan Rajah
Presented at Big Data Week, this talk highlight the importance of predictive analytics in business change. It start with exploring the reasons for a business to change followed by delve into what is predictive analytics and stitches the two together against the backdrop of the Shop Direct's journey to becoming a World Class Digital Retailer.
Business Change through Predictive AnalyticsChandan Rajah
Presented at the Big Data Analytics & Innovation Summit, November 1025, this presentation answers the question - should businesses invest in predictive analytics. It looks at Shop Direct as an example to highlight the benefits of predictive analytics.
Presented to the British High Commission, British Council and the Royal Moroccan Science Council at the Mediterranean Space of Technology and Innovation (MSTI) event held in Rabat, Morocco, this presentation describes vertical innovation and the big data science revolution. It goes on to predict the future of big data science including the Moroccan opportunity to become the data science capital of North Africa.
Presented to the British High Commission, British Council and the Royal Moroccan Science Council at the Mediterranean Space of Technology and Innovation (MSTI) event held in Rabat, Morocco, this presentation highlight the data innovation ecosystem in the UK.
Data Disruption by Vertical Innovation in MediaChandan Rajah
Presented to a forum of strategy and technology consultants specialising in the media sector, this presentation highlights the difference between horizontal and vertical innovation. It draws parallels between business intelligence and big data science in that context. It showcases examples of successful implementation of prescriptive analytics.
Health Innovation and the Digital CatapultChandan Rajah
Presented at the 'Aspects of Digital Innovation' conference in Salford Media City, this presentation illustrates the reasons health and care is the next frontier for disruption. It describes a scenario and lists the emerging trends in this sector.
Connected Farms ...and the Digital CatapultChandan Rajah
Presented at the "Towards a Connected Farm" workshop conducted by the Satellite Applications Catapult, this presentation highlights the ideas and trends while moving towards a connected farm.
Presnetated to the Digital Catapult (@DigiCatapult), this presentation aims to introduce Big Data Science and create a sense of realisation to adopt the technology.
Presented at the Digital Care Surgery in Birmingham, this presentation highlights the potential data based disruptions to the future health care industry in the form of data bases products and services.
Digital Care Surgery was host by Digital Birmingham (@DigiBrum), supported by Innovate UK (@innovate_uk), setup to support and accelerate SMEs in the health care industry.
How should an organisation with an incumbent Enterprise Data Warehouse harness the power of Big Data?
Using Sky as an example, this presentation outlays a schematic plan to achieve this synergy with minimal disruption.
Business Impact of Predictive AnalyticsChandan Rajah
Why should an organisation invest in predictive analytics? What impact could it have on my business? What metrics should I measure and track? Predictive analytics might not be the panacea to every dilemmas but it can certainly help create cross-sell and up-sell opportunities, predict and manage operations, drive brand loyalty, identify and target customers and save the planet. Business today need to harness this capability to drive value to their customers and increase intrinsic performance targets. This talks aims to highlight some aspects of business impact most realised when using predictive analytics.
Presented at a technology event, this presentation illustrates a mechanism for social triangulation with limited knowledge using Big Data technologies.
What is Big Data? What is Data Science? What are the benefits? How will they evolve in my organisation?
Built around the premise that the investment in big data is far less than the cost of not having it, this presentation made at a tech media industry event, this presentation will unveil and explore the nuances of Big Data and Data Science and their synergy forming Big Data Science. It highlights the benefits of investing in it and defines a path to their evolution within most organisations.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
1. COPYRIGHT 2015 PUBLISHED @ChandanRajah
Catalysing Sector Advantage
By Chandan Rajah, Technology Expert and Advisor @ Digital Catapult
Since the advent of the Big Data revolution, with the creation of Hadoop, most
companies are successful leveraging their data to create additional value. Some other
firms, like Netflix and Amazon, are successful using the data insight as competitive
advantage to increase consumer willingness to pay. Fewer organisations, like Oracle,
IBM and HP, are able to derive corporate advantage from the data layer by centralising
data analytics capabilities across business units and/or portfolio companies. It’s clear
that this model can be extended across organisations within a broad sector grouping to
create Sector Advantage by combining the data they hold with each other.
While regulators frown at horizontal synergies between potential competitors for fear of
collusion, they are quite open to vertical synergies up and down the value chain. Firms
are beginning to see this potential and attribute resources to exploring opportunities for
sector advantage. Nevertheless, apprehension still exists from the company’s point of
view typically on one of these three dimensions. Firstly, how valuable it is to combine
data up and down the value chain with other organisations? Secondly, where should
this data be hosted to ensure there is no loss of competitive advantage until models of
long-term engagement are formalised? Finally, how could this activity be legally
executed at arms length until the value gain has been demonstrated and contracts are
formalised? The Digital Catapult hopes to address all these concerns with its Data
Catalyser initiative and create widespread opportunities for sector advantage.
Estimating the potential value of combining data, thus predicting the outcome before
the actual event, is not an easy task. Yet, we see companies like Sky extracting
significant sector advantage from data relationships with Clarity Blue and Zeebox and
later acquiring them to internalise it. GlaxoSmithKline actively manages its supply chain
to maximise operational efficiency and increase its sector advantage synergising
throughout the supply chain. UPS, through an open competition, was able to reduce its
fuel footprint quite dramatically by leveraging the innovation held in a transport
technology start-up thereby creating sector advantage. At the Digital Catapult, we
understand that innovative data exploration is the key making these synergies
successful and sector advantage possible. Large organisations typically do not explore
data combination opportunities as much as small organisations do. However, greater
value is usually extracted when two larger organisations combining their data as
compared to their smaller counterparts. Yet, the innovation to extract that value is
usually found more abundantly within the small and medium sized enterprises (SME).
What if, one or more large organisations could grant access to their combined data in a
secure way for SMEs to explore under the premise that any value found would lead to a
combined value sharing opportunity amongst all parties? The Digital Catapult’s Data
Catalyser offers a technical, legal and procedural framework to combine data in
innovative ways allowing SMEs to extract hidden value from corporate data to create
sector advantage.
Hosting the combined data without losing competitive advantage is tough. The issue is
the degree of trust each organisations has on the other. On the one extreme,
organisations trust each other to hold the others data without exploiting it, while on the
other extreme, organisations demand the creation of a separate legal entity to hold this
2. COPYRIGHT 2015 PUBLISHED @ChandanRajah
data and exploit it with no liability flowing to the parent organisations. Either ends of the
spectrum are usually not feasible.
What if, this activity could be structured and executed by a neutral party that has no
competitive advantage to gain by having access to the data and insight of either
organisation? The Digital Catapult is a not-for-profit national organisation neutral to all
players in the industry. The Data Catalyser is a secure hosted big data analytics solution
that prevents organisations providing data (aka Data Providers) from accessing each
other’s data. Access to the combined data is available only to preselected SMEs (aka
Insight Producers) through a tightly controlled and monitored web interface. The tools
available to Insight Producers to analyse this data a vetted by security professionals and
the platform is certified to meet the level of security needed for this activity to be
conducted.
Technically speaking, the Data Catalyser is a Hadoop cluster shrouded by multiple
layers of security. Data from Data Providers is held within the most secure boundaries
with fine-grained access restrictions applied to it. Access the data is provided through a
controlled and monitored web interface secured by SSL and authenticated by digital
certificates. Actions are tracked through the ecosystem right down to the network level
using Kerberos linked to certificate identifiers. Insight Producers have access to R,
Python and SQL for data analytics and visualisation of insight.
The Digital Catapult offers a complete solution to ensure that engagement between
organisations providing data stays at arms length. The solutions compromises of
template contracts and best practices along with project execution capabilities. On a
scale, we offer a strong room approach to analytics wherein no data can be accessed
or leaves the confines of a physical space, or, a cloud hosted solution that has detailed
access controls and auditing to monitor access to the data and insight. We offer an
extended data licensing service to allow providers leave their data on the platform for
longer creating an opportunity for future gains through value creation currently unseen.