How to use corporate big data for external applications, remain legally and ethically compliant and create a solution with clear public good? At the marketing edition of Banalytics in Bratislava, Matej Misik shared our approach to big data monetization for telcos, banks and other data rich industries.
Instarea is a "laboratory" for innovative big data monetization ideas within the international Adastra group. A young committed team, fresh thinking and a lust for adventure define us as a company. We yearn to change the world for the better through data.
How telecommunication companies can leverage power Hadoop and Big Data to derive use cases.
Based on Cloudera Whitepaper - Big Data Use Cases for Telcos
A Big Data Telco Solution by Dr. Laura Wynterwkwsci-research
Presented during the WKWSCI Symposium 2014
21 March 2014
Marina Bay Sands Expo and Convention Centre
Organized by the Wee Kim Wee School of Communication and Information at Nanyang Technological University
Strategizing Big Data in Telco
Big data feels to be a very hot topic nowadays. Some industries depend on it completely, some have opportunities to roll out their strategies and execute, some just considering when it is a right time to hop in.
To my mind, Big Data is not about technology. Big data is about people generating data and data used for the benefit of people.
Big data is a pool of activities intended at processing the data a company owns (internal and external) so that to open new revenue opportunities, minimize costs and enhance UX.
I had some ideas and thoughts on what telecommunication companies may start from in formulating the Big Data Strategy and so packed some of the most important pieces of thoughts into a small presentation.
What is the difference between Small Data and Big Data?
What kind of data is used currently and which is to be relied on a new paradigm?
What kind of products are expected from telcos?
My personal ranking of operators in terms of their Big Data execution
What are the stages telcos should pass through to become a Big Data operator?
Prerequisites for Big Data transformation
Please take a look at the presentation to find answers to these questions and feel free to share your opinion.
Thanks!
How telecommunication companies can leverage power Hadoop and Big Data to derive use cases.
Based on Cloudera Whitepaper - Big Data Use Cases for Telcos
A Big Data Telco Solution by Dr. Laura Wynterwkwsci-research
Presented during the WKWSCI Symposium 2014
21 March 2014
Marina Bay Sands Expo and Convention Centre
Organized by the Wee Kim Wee School of Communication and Information at Nanyang Technological University
Strategizing Big Data in Telco
Big data feels to be a very hot topic nowadays. Some industries depend on it completely, some have opportunities to roll out their strategies and execute, some just considering when it is a right time to hop in.
To my mind, Big Data is not about technology. Big data is about people generating data and data used for the benefit of people.
Big data is a pool of activities intended at processing the data a company owns (internal and external) so that to open new revenue opportunities, minimize costs and enhance UX.
I had some ideas and thoughts on what telecommunication companies may start from in formulating the Big Data Strategy and so packed some of the most important pieces of thoughts into a small presentation.
What is the difference between Small Data and Big Data?
What kind of data is used currently and which is to be relied on a new paradigm?
What kind of products are expected from telcos?
My personal ranking of operators in terms of their Big Data execution
What are the stages telcos should pass through to become a Big Data operator?
Prerequisites for Big Data transformation
Please take a look at the presentation to find answers to these questions and feel free to share your opinion.
Thanks!
Norbert Kraft, Referent Research & Technology, Nokia Siemens Networks
Durch die weltweite Verfügbarkeit, Abdeckung und Nutzung sind Mobile Telekommunikationsnetze heute ein typisches Anwendungsgebiet für 'Big Data' und insbesondere für komplexe Datenanalyseverfahren. Norbert Kraft beschreibt in dieser Session Einsatzszenarien dieser Technologien in der Telekommunikationsindustrie anhand konkreter Beispiele, die im Rahmen eines Forschungsprojektes des Zentralbereiches 'Technologie und Innovation' von Nokia entstanden sind. In einen Entwicklungsprototypen wurden hier Möglichkeiten der Netzausfallvorhersage sowie der Ursachenanalyse für solche Ereignisse untersucht und entwickelt. Hierbei kommen unterschiedliche Data Mining und Machine Learning Verfahren zum Einsatz, z.B. (Un-)supervised Learning, Clustering Verfahren für die Klassifizierung von Kundenprofilen oder Radiozellen sowie eine Zeitreihenanalyse zur Vorhersage von Netzausfällen. Eine wichtige Rolle neben der Erkennung von Fehlerszenarien ist hierbei immer die Ermittlung einer möglichen Fehlerursache, wobei der erkannte Netzfehler mit einer Vielzahl möglicher Einflussgrößen (z.B. SW Konfiguration, Lastprofil) korreliert wird.
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
Overview of analytics and big data in practiceVivek Murugesan
Intended to give an overview of analytics and big data in practice. With set of industry use cases from different domains. Would be useful for someone who is trying to understand Analytics and Big Data.
Extracting value from Big Data is not easy. The field of technologies and vendors is fragmented and rapidly evolving. End-to-end, general purpose solutions that work out of the box don’t exist yet, and Hadoop is no exception. And most companies lack Big Data specialists. The key to unlocking real value lies with thinking smart and hard about the business requirements for a Big Data solution. There is a long list of crucial questions to think about. Is Hadoop really the best solution for all Big Data needs? Should companies run a Hadoop cluster on expensive enterprise-grade storage, or use cheap commodity servers? Should the chosen infrastructure be bare metal or virtualized? The picture becomes even more confusing at the analysis and visualization layer. The answer to Big Data ROI lies somewhere between the herd and nerd mentality. Thinking hard and being smart about each use case as early as possible avoids costly mistakes in choosing hardware and software. This talk will illustrate how Deutsche Telekom follows this segmentation approach to make sure every individual use case drives architecture design and the selection of technologies and vendors.
Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers.
CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure.
This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.
San Antonio’s electric utility making big data analytics the business of the ...DataWorks Summit
Being part of a municipality-owned electric utility offers a unique opportunity to lead in the area of big data analytics. What moves the electric utility of the 7th largest city in the U.S.? The answer is, people. For years, CPS Energy has invested in development of local talent, local technology development, city growth, its employees, and an asset infrastructure that is setting the stage for continued success. At CPS Energy, when such investments are topped by a data infrastructure and applications conducive to creation of business insights, we can justify and prioritize investments. For us, the biggest people opportunities in big data analytics are around operations, customer and employee engagement, and safety. The presenter will provide examples and share how his views have evolved from those of a researcher to global renewable energy consultant to technology innovator and more recently a “harvester of value” from within people, process, and technology assets. Lastly, current and anticipated future states with regards to San Antonio’s electric utility big data enablement platform will be presented...
Speaker
Rolando Vega, Manager of Analytics and Business Insight, CPS Engery
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
The Future of Data in Telecom and the Rise of Connected CommunitiesDataWorks Summit
The Telecom Industry has been at the heart of the new Digital Transformation Era with the focal points of the smart phone, digital content, and social media allowing us to interact with the new world. This digital consumer era is overlapping with the connected world of smart cities, connected car, smart homes, connected medical devices, and the industrial internet of things. This is giving rise to the new connected communities, member networks or marketplaces sharing data and insights across these new functional ecosystems. Service providers are being challenged to better manage the relationship and the experiences of their customers, build and leverage smart networks, and drive or facilitate these new digital services and connected communities.
Join Sanjay Kumar, General Manager of the Telecom Industry at Hortonworks as he facilitates an interactive session with your peers and other executives from service providers and operators in discussing the future of data in telecom and the rise of connected communities. Share your experiences and hear from other telecom service providers on their journey with big data and the transformation to becoming a data-drive organization.
During this interactive session, areas of discussion will include:
- Big data and real-time analytics for enhancing customer experience and target advertising
- Analytics driven next generation OSS and the Smart Network
- Connected communities that leveraging blockchain with big data
In the age of the connected world, hear from industry leaders about the role of the service provider and their relationship with their customers and connected communities across this new digital ecosystem.
Speaker
Sanjay Kumar, General Manager, Telecom & FS, Hortonworks
Nokia On Analyzing, With Wisdom, The Cognition Of The CrowdRomana Hai
Crowds draw crowds, and for retailers, drawing a crowd means drawing dollars. In an interview with PYMNTS’ Karen Webster, Shelley Schlueter, who heads Nokia’s analytics marketing ops, delves into how Nokia’s Cognitive Analytics for Crowd Insight can offer companies real-time knowledge about who wants what and when — and maybe even why.
Norbert Kraft, Referent Research & Technology, Nokia Siemens Networks
Durch die weltweite Verfügbarkeit, Abdeckung und Nutzung sind Mobile Telekommunikationsnetze heute ein typisches Anwendungsgebiet für 'Big Data' und insbesondere für komplexe Datenanalyseverfahren. Norbert Kraft beschreibt in dieser Session Einsatzszenarien dieser Technologien in der Telekommunikationsindustrie anhand konkreter Beispiele, die im Rahmen eines Forschungsprojektes des Zentralbereiches 'Technologie und Innovation' von Nokia entstanden sind. In einen Entwicklungsprototypen wurden hier Möglichkeiten der Netzausfallvorhersage sowie der Ursachenanalyse für solche Ereignisse untersucht und entwickelt. Hierbei kommen unterschiedliche Data Mining und Machine Learning Verfahren zum Einsatz, z.B. (Un-)supervised Learning, Clustering Verfahren für die Klassifizierung von Kundenprofilen oder Radiozellen sowie eine Zeitreihenanalyse zur Vorhersage von Netzausfällen. Eine wichtige Rolle neben der Erkennung von Fehlerszenarien ist hierbei immer die Ermittlung einer möglichen Fehlerursache, wobei der erkannte Netzfehler mit einer Vielzahl möglicher Einflussgrößen (z.B. SW Konfiguration, Lastprofil) korreliert wird.
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
Overview of analytics and big data in practiceVivek Murugesan
Intended to give an overview of analytics and big data in practice. With set of industry use cases from different domains. Would be useful for someone who is trying to understand Analytics and Big Data.
Extracting value from Big Data is not easy. The field of technologies and vendors is fragmented and rapidly evolving. End-to-end, general purpose solutions that work out of the box don’t exist yet, and Hadoop is no exception. And most companies lack Big Data specialists. The key to unlocking real value lies with thinking smart and hard about the business requirements for a Big Data solution. There is a long list of crucial questions to think about. Is Hadoop really the best solution for all Big Data needs? Should companies run a Hadoop cluster on expensive enterprise-grade storage, or use cheap commodity servers? Should the chosen infrastructure be bare metal or virtualized? The picture becomes even more confusing at the analysis and visualization layer. The answer to Big Data ROI lies somewhere between the herd and nerd mentality. Thinking hard and being smart about each use case as early as possible avoids costly mistakes in choosing hardware and software. This talk will illustrate how Deutsche Telekom follows this segmentation approach to make sure every individual use case drives architecture design and the selection of technologies and vendors.
Big data is an opportunity for communications service providers (CSPs) to create the intelligence for operating their infrastructures more efficiently, to analyze the success of their services, and to create a better personal experience for their customers.
CSP Top executives, Network and IT managers and Marketing, are eager to exploit the large amount of information to achieve better business decisions. They expect their Chief Technical Officer to provide end-to-end analytic solutions based on the data available in their IT and network infrastructure.
This presentation analyzes the complete value chain that can transform CSPs’ data to knowledge. It covers the sources of information, the data collection tools, the analytic platforms providing quick data access, and finally the business intelligence use cases with the presentation and visualization of the results and predictions.
San Antonio’s electric utility making big data analytics the business of the ...DataWorks Summit
Being part of a municipality-owned electric utility offers a unique opportunity to lead in the area of big data analytics. What moves the electric utility of the 7th largest city in the U.S.? The answer is, people. For years, CPS Energy has invested in development of local talent, local technology development, city growth, its employees, and an asset infrastructure that is setting the stage for continued success. At CPS Energy, when such investments are topped by a data infrastructure and applications conducive to creation of business insights, we can justify and prioritize investments. For us, the biggest people opportunities in big data analytics are around operations, customer and employee engagement, and safety. The presenter will provide examples and share how his views have evolved from those of a researcher to global renewable energy consultant to technology innovator and more recently a “harvester of value” from within people, process, and technology assets. Lastly, current and anticipated future states with regards to San Antonio’s electric utility big data enablement platform will be presented...
Speaker
Rolando Vega, Manager of Analytics and Business Insight, CPS Engery
Big Data and Analytics: The IBM PerspectiveThe_IPA
Gareth Mitchell-Jones, Associate Partner Big Data & Analytics at IBM, shares his thoughts on the hot topic of Big Data from his unique perspective at an IPA 44 Club event in London. To learn more about The IPA visit www.ipa.co.uk and The 44 Club here http://www.ipa.co.uk/groups/44-club-2
The Future of Data in Telecom and the Rise of Connected CommunitiesDataWorks Summit
The Telecom Industry has been at the heart of the new Digital Transformation Era with the focal points of the smart phone, digital content, and social media allowing us to interact with the new world. This digital consumer era is overlapping with the connected world of smart cities, connected car, smart homes, connected medical devices, and the industrial internet of things. This is giving rise to the new connected communities, member networks or marketplaces sharing data and insights across these new functional ecosystems. Service providers are being challenged to better manage the relationship and the experiences of their customers, build and leverage smart networks, and drive or facilitate these new digital services and connected communities.
Join Sanjay Kumar, General Manager of the Telecom Industry at Hortonworks as he facilitates an interactive session with your peers and other executives from service providers and operators in discussing the future of data in telecom and the rise of connected communities. Share your experiences and hear from other telecom service providers on their journey with big data and the transformation to becoming a data-drive organization.
During this interactive session, areas of discussion will include:
- Big data and real-time analytics for enhancing customer experience and target advertising
- Analytics driven next generation OSS and the Smart Network
- Connected communities that leveraging blockchain with big data
In the age of the connected world, hear from industry leaders about the role of the service provider and their relationship with their customers and connected communities across this new digital ecosystem.
Speaker
Sanjay Kumar, General Manager, Telecom & FS, Hortonworks
Nokia On Analyzing, With Wisdom, The Cognition Of The CrowdRomana Hai
Crowds draw crowds, and for retailers, drawing a crowd means drawing dollars. In an interview with PYMNTS’ Karen Webster, Shelley Schlueter, who heads Nokia’s analytics marketing ops, delves into how Nokia’s Cognitive Analytics for Crowd Insight can offer companies real-time knowledge about who wants what and when — and maybe even why.
Assured printing allows you to find and fix problems in your printer network with ease. Learn how print confirmation solutions from Plus Technologies can benefit your business with this presentation.
Suốt 12 năm miệt mài với chương trình phổ thông trung học, rồi những tháng khổ luyện ôn thi để mong có được “cái vé” vào đại học, vẫn chỉ mới là một chặng đường dài của các bạn trẻ. Những năm ở trường đại học giờ cũng đã trôi qua. Một chặng đường mới đang mở ra…
Học hành vất vả, có nên tạm nghỉ “giải lao” đôi ba tháng? Hay háo hức tìm những công việc mà bản thân và gia đình mong muốn? Hay bị lôi cuốn bởi những chương trình mới, những bậc học cao hơn? Hay đi du học để mở mang tầm nhìn, mong có một tương lai tươi sáng và vững chắc hơn? Câu trả lời, dĩ nhiên, tùy thuộc vào lựa chọn của mỗi bạn, nhưng trước khi quyết định, chắc chắn, ai cũng có nhiều băn khoăn, trăn trở.
Bản tin Hoa Sen số 8 với chủ đề “Vào đời-Khởi nghiệp” tập hợp một số bài viết của các thầy cô (trong và ngoài trường), các sinh viên vừa tốt nghiệp năm 2012, 2013 với những nội dung đa dạng.
Presentation by City of Coventry Swimming Club to Coventry City Council detailing the economic and social benefits of keeping a 50m swimming pool in Coventry
7 Chrome extensions for heavy readers to boost their productivity while reading on the Web. List contains: Clearly, tldr.io, RSS Subscription, Buffer, Pocket, TooManyTabsOpen, High Contrast.
The recession that started in 2008 caused a sharp deterioration of the budget balance of many developed countries, not only as a result of discretionary policies but also due to the loss of revenue caused by the decline in gross domestic product. The latter effect should have been captured by the cyclically adjusted budget balance, but certain methodological limitations prevented this from occurring. Consequently, in this article we raise the need to include asset revaluation in the calculation of the cyclically
adjusted budget balance. To do this, we estimate a structural budget balance for Spain in the years prior to the sub-prime crisis that includes residential investment as an explanatory variable. This estimate shows that by 2004 the fiscal situation in Spain was already tenuous, but this fragility was hidden by the extraordinary revenue from the real estate bubble.
This is a powerpoint that showcases the ability to use the Dartfish Software in many industry and business applications. Observing and Tagging Video for use in assessment, training, and delivery of information.
It is worth to communicate even smaller EU research projects with 'difficult' content. Example of a hands-on exhibit unit for the project HESPE (High Energy Solar Physics in Europe) at the 2013 EU-Open Doors in Brussels.
Digital Marketing Strategic Planning WorkshopDigi Mark
5th ITI Digital Marketing Day
By: Mohab Ayman
#DMDay5
Digital Marketing Strategy is:
Definition of the approach by which applying digital technology
platforms to integrate with the other Marketing activities and support the overall Business Objectives.
It’s time to embrace the future of customer engagement. You need a customer-centric approach in order to build your business around the needs, preferences and intents of your customers on an ongoing basis. But do you know how to create the optimal customer insight platform to get you there?
Our guest Brandon Purcell, Senior Analyst at Forrester Research, and Steven Noels, CTO and Co-Founder of NGDATA, defines what the customer insight platform is, and how it can be used to engage in a relevant way with your customers, transform your business, optimize costs and achieve new growth.
Key takeaways include:
How to stay ahead of evolving customer demands, and how data and analytics play an essential part
Understanding all the components necessary to transform customer data into insights to meet and exceed your customers’ expectations
How to operationalize customer insights to optimize every customer interaction
Use of Data Mining in Marketing
Different tools for Marketing
Case Study
Data mining in marketing
Knowledge Base Marketing
Market Basket
Social Media Marketing
and many more
Unlocking the True Potential of Data on MobileInMobi
While over 90% of a consumer’s time is spent on smartphones, only 53% of advertising budgets are being spent to reach them here. Can mobile data help advertisers make the successful switch to making a true investment and go digital-first? As a marketer, your biggest struggle is the effort to build a holistic persona of every user by combining all data assets across every touch point you have had with your users.
The main task of this talk is to see how Data Science can influence big companies to generate new revenue and more profit.
Subjects that will be addressed in this talk are:
• Understanding a value it brings to corporations on long-term (direct revenue generation not only cost reduction);
• Data Science is important part of digital transformation. Are corporations ready?
• Management dedication on investment;
• Lack of Data Science managers acting as a link between Data Scientists and Business managers. Provide motivation/interesting tasks for Data Scientists while validating investments in business environment;
• Lack of skillful Data scientists;
• Compensation of Data Scientists among other Employees (obviously a different scales needs to be applied);
• Examples of Applied Data Science as revenue generators in Telenor Serbia;
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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.”
Banalytics - Monetizing corporate big data | Instarea
1. Market Locator | Big data based Population Analytics & Targeted Marketing
Matej Misik | Senior Consultant @ Adastra Partnering
Tomas Synek | Senior Consultant @ Adastra
1
B2B Targeted Marketing &
Population Analytics solution
Smart cities planning
& using Big Data
2. Market Locator | Big data based Population Analytics & Targeted Marketing
Our clients’ big data reality
The “Maslow” big data monetization pyramid
Internal application
Full
package
External use
& monetization
Technology
Data Identification
The ultimate big data monetization point
• Provide a full offering for B2B – a integrated and automated
solution for data resale and complimentary solutions
Create opportunity to provide data to external entities
• Need for thorough ethical and legal examination to
provide data in a secure and profitable manner
DWH offloading
• Reduce the load on expensive DWH
infrastructure and store data cheaper
Campaign optimization
• Apply gathered data for purposes of customer
retention, up-sell, cross-sell
Opportunity mapping
• Get a good understanding of existing and
potential data acquisition
3. Market Locator | Big data based Population Analytics & Targeted Marketing
You hear a lot about technology…You hear a lot about technology…
What the big data market has to offer
And what the limitations / opportunities are
3
You hear a lot about technology… What about application? How to use & sell?
Mostly oriented on internal
use-cases
• Data monetization & Targeted Marketing
• Solution created for monetization of your
valuable data
• Self service app for your B2B customers
• Multi-industry to include data from 3rd
parties
“Google AdWords & Google Analytics ”
for the brick & mortar world
4. Market Locator | Big data based Population Analytics & Targeted Marketing
1) Identification &
gathering of data
(structured, semi-structured),
aggregate, store efficiently in
an accessible format
1b) Enrich with data from
other sources and industries
(each industry has unique
valuable sources of info)
2) Efficiently store the big
data -> use internal &
external application create
business case for technology
4) Combine for advanced
analytics on population data
to identify new opportunities,
target audiences & insights
Targeted Marketing
Develop new offerings for
your existing B2C customers
and reach new prospects
with one-to-one marketing
Population Analytics
Launch an online population
analytics “shop” or platform
for your B2B customers and
monetize your enriched data
The process
From the base of the pyramid to the peak
3) Ensure maximum data
security and anonymize data
(strict compliance with data
and personal privacy)
4
5. Market Locator | Big data based Population Analytics & Targeted Marketing
Solution
• Unique, data centric
B2B service for
analytics & targeted
marketing
• Position Mobile
Network Operator
(MNO) as innovative
leader in data
analytics & value
added services.
Challenge
• Wealth of data
valuable to other
organizations
• Customers open to
relevant/timely
offers
Results
• Pilot achieved < 1
year ROI for data
and channel
partner (MNO)
• Positioned it as a
technological
innovator with
B2B clients &
subscribers
Market Locator
The story behind Market Locator
Creating a value added data monetization service
Opportunity
• Market saturation
in telco, but also
banking
• Over the top
disruption
6. Market Locator | Big data based Population Analytics & Targeted Marketing
Online tool, visual population heat-maps and simple
target market filtering based on hard-data
Self service campaign creation, immediate execution &
analytics. Event-driven campaigns
What monetizing corporate data can look like?
Web based tool for analytics & targeted mobile marketing
6
Self service BI & campaign
creation
Self-service web shop for
data and campaign credits
Integrated campaign
reporting, invoicing
Web based solution with a
simple graphic UI
Online data order
processing and payment
7. Market Locator | Big data based Population Analytics & Targeted Marketing 7
You can register and test as normal user on
app.marketlocator.sk/Security/Registration.aspx
8. Market Locator | Big data based Population Analytics & Targeted Marketing
Telecommunications
§ Data resale for both govt. & private sector analytics
§ Targeted marketing solutions
§ Shift toward broad B2B offering outside of traditional telephony
Banking
§ Understand where my target clients shop
§ Understand what complementary products they buy
§ Understand who my competition is & which customers they target
Internal application
§ Optimize campaigns based on where the target population is most
often present during certain times of day
§ Possibility to delegate marketing efforts to local managers
Opportunity to become a
media & marketing agency
Opportunity to deliver
unique B2B analytical offer
Empower internal
marketing with new
business oriented tools
The opportunities are present in many industries.
8
Other industries / applications?
Many face similar problems & opportunities in data monetization
9. Market Locator | Big data based Population Analytics & Targeted Marketing 9
The journey
From just big data to a physical Google Analytics & Google Adwords
Challenge
Give corporate big data a
palpable value
Legal
Lengthy legal & ethical
definition of constraints &
definition of code of conduct
Data Investigation
Find out what data you have
and could potentially gather.
Define use cases for data.
Combine with marketing
Bring together the world of
population analytics &
targeted marketing
Market Locator
Integrate with an accessible
data monetization platform
Next steps
New data providers & new
marketing channels
Done well, can be achieved in 3 – 5 months with low internal / external investment
10. Market Locator | Big data based Population Analytics & Targeted Marketing
Multi-provider
in Slovakia
6 countries in
negotiation
New analytical
capabilities
New channels
(email, MMS,
billboards...)
New industry
data
New targeting
capabilities
11. Market Locator | Big data based Population Analytics & Targeted Marketing
Constantly in development
Improving analytics - attribute distributions on map
12. Market Locator | Big data based Population Analytics & Targeted Marketing
Adastra Partnering, s.r.o.
Francisciho 4
811 08 Bratislava
Phone: +421 908 481 099
www.marketlocator.sk
matej.misik@adastra-partnering.com
facebook.com/AdastraPartnering
twitter.com/AdaPartnering
Make sure to check out
Adastra Partnering, s.r.o.
29. Augusta 36/A
81109 Bratislava 1
www.adastra-partnering.com
Senior Business Consultant
Adastra Partnering
matej.misik@adastra-partnering.com
+421 908 481 099
Matej Misik
12