Teradata Integrated Web Intelligence captures detailed data from online behavior and integrates it with other interactive channels and enterprise data to turn your Enterprise Data Warehouse from Teradata into a powerful marketing tool. Now you can combine online data with traditional offline data in a single location to gain insights into customer behavior that increase the effectiveness and efficiency of your marketing spend across all channels.
For more information, visit www.teradata.com
Organizations across diverse industries are in pursuit of Customer 360, by integrating customer information across multiple channels, systems, devices and products. Having a 360-degree view of the customer enables enterprises to improve the interaction experience, drive customer loyalty and improve retention. However delivering a true Customer 360 can be very challenging.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
Many retailers are stymied by the complex, multi-channel world of today's consumer. In today’s era of one-to-one personalized relationships, you need a way to link customer interactions, visits, purchases and the like from multiple touch points to fill those gaps and capture the 360° customer view needed to improve the customer experience, target offers and generate better returns.
The concept of a 360° view, especially of customers, although it potentially applies to other things too, has been around for a substantial period of time. The idea behind the 360° view of customers is that the more you know about your customers the easier it will be to meet their needs, both in terms of products and aftersales care, and to market additional goods and services to them in the most efficient fashion. Thus a 360° view helps both in terms of customer retention and acquisition, as well as up-sell and cross-sell.
In this presentation which complements Bloor Whitepaper on the "Extended 360 degree view" we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended 360° view represents an opportunity, both for those that have already implemented a 360° view and for those that have not.
Teradata Integrated Web Intelligence captures detailed data from online behavior and integrates it with other interactive channels and enterprise data to turn your Enterprise Data Warehouse from Teradata into a powerful marketing tool. Now you can combine online data with traditional offline data in a single location to gain insights into customer behavior that increase the effectiveness and efficiency of your marketing spend across all channels.
For more information, visit www.teradata.com
Organizations across diverse industries are in pursuit of Customer 360, by integrating customer information across multiple channels, systems, devices and products. Having a 360-degree view of the customer enables enterprises to improve the interaction experience, drive customer loyalty and improve retention. However delivering a true Customer 360 can be very challenging.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
Many retailers are stymied by the complex, multi-channel world of today's consumer. In today’s era of one-to-one personalized relationships, you need a way to link customer interactions, visits, purchases and the like from multiple touch points to fill those gaps and capture the 360° customer view needed to improve the customer experience, target offers and generate better returns.
The concept of a 360° view, especially of customers, although it potentially applies to other things too, has been around for a substantial period of time. The idea behind the 360° view of customers is that the more you know about your customers the easier it will be to meet their needs, both in terms of products and aftersales care, and to market additional goods and services to them in the most efficient fashion. Thus a 360° view helps both in terms of customer retention and acquisition, as well as up-sell and cross-sell.
In this presentation which complements Bloor Whitepaper on the "Extended 360 degree view" we will discuss why we believe that extending the traditional 360° view makes sense and we will give some uses that demonstrate why the extended 360° view represents an opportunity, both for those that have already implemented a 360° view and for those that have not.
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...Bob Samuels
This presentation was given at the Deep Dive Conference in November. 2013.
Big Data Applications... example, digital marketing, and targeting and optimization...
Feedback, and additional perspectives, is appreciated.
Thank you,
Bobby Samuels
TechConnectr.com
How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant.So, whenever a customer interacts with an organization, it is vital that the richness of information available on that customer informs and guides the processes that will help to maximize their experience, while simultaneously making the interaction as effective and efficient as possible. IBM provides several important capabilities to help organizations make effective use of big data and improve the customer experience.
Originally Published on Mar 27, 2015
The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant. So, whenever a customer interacts with an organization, it is vital that the richness of information available on that customer informs and guides the processes that will help to maximize their experience, while simultaneously making the interaction as effective and efficient as possible. IBM provides several important capabilities to help organizations make effective use of big data and improve the customer experience.
06. DIGGIT MARIUS IVANOVAS (Httpool Baltics): Personalizirane marketinške akt...mateja repovž
Kompleksnost medijskega sveta zaznavamo, kot velike količine razpršenih in nepreglednih podatkov brez skupnega imenovalca. Integracija različnih virov podatkov, zbranih na enema mestu in prilagoditev vsem akterjem v marketingu in prodaji prispeva k hitrejšim in bolj utemeljenim odločitvam.
ANTS - 360 view of your customer - bigdata innovation summit 2016
Dữ liệu lớn, theo nghĩa đen, không phải là một cái gì đó mới, nó đã hiện hữu trong một thời gian dài. Bất kỳ một công ty đã kinh doanh trong một vài năm đều sở hữu một khối lượng dữ liệu từ thông tin khách hàng thông qua hồ sơ giao dịch và sử dụng sản phẩm. Những doanh nghiệp khác nhau sẽ có những khả năng khai thác và sử dụng dữ liệu lớn khác nhau.
Một số doanh nghiệp đã đạt đến độ chín muồi, trong khi đó một số doanh nghiệp khác chỉ vừa bắt đầu cuộc hành trình. Tại Việt Nam các doanh nghiệp viễn thông, các hãng hàng không, các ngân hàng, các tập đoàn bán lẻ, các cơ quan chính phủ đang sở hữu một khối lượng dữ liệu khổng lồ, tuy nhiên, việc xử lý, phân tích dữ liệu lớn còn đang trong giai đoạn rất sơ khai.
Diễn đàn dữ liệu lớn sẽ tập trung chia sẻ những kiến thức thực tế và mang tính chất ứng dụng để người tham dự có thể tích luỹ và áp dụng.
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
DemandMatrix tells you which accounts are using whatever hardware and software matters to you. Your products, the products of your competitors or complimentary products of current or potential alliance partners. With APIs, DemandMatrix can provide you with a continuous data feed or exchange data with your CRM or use the DemandMatrix platform for queries, modeling, and list-pulls.
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
This talk examines graph databases and Neo4j with a use-case driven approach. First, we look at some property graph model examples, taken from real-world datasets. Next we discuss converting a relational model to graph, using the canonical Northwind example. Finally, we dive into Fraud Detection and Personalized Recommendation examples, learning about Neo4j developer tooling as we explore these use cases.
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
Big Data Done Right by Successful OrganizationsEuro IT Group
Euro IT Group can help you unlock the tones of information already flowing through your organization, analyze it, extract value and transform it into insight that drives growth and revenue. Furthermore, by going through one of our big data quick wins programs, you will be able to enjoy the benefits of big data extremely fast, test and validate big data technologies and make better strategic decisions for managing your overall company data; our quick win program enables you to enjoy quickly new insights and measurable results by putting at work your existing data streams and to test and validate Big Data Technologies that can complement your legacy BI / DWH infrastructure.
Ebook subscription services - an example of user-focused innovation in publis...Justo Hidalgo
Presentation of 24symbols at Paju Bookcity's Editor School in October 2015.
Topic: how subscription services support innovation in publishing. Subscription services provide the ability to increase innovation through its main characteristics: books on the cloud, hybrid curation, reader involvement and engagement hub. This pres explores each of these areas and how they can work together.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
Big Data: The Road to Know More About Your BusinessOAUGNJ
Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companies’ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.
Comtrade System Integration - Digital Banking in Retail - Customer EngagementVladimir Ljubibratic
Digital transformation as a business strategy is enabling disruption at the industry level and how it is happening is one company at time. VeriTouch solution for Microsoft Dynamics 365 platform is allowing banking organizations to better engage customers, empower employees, optimize operations and transform their products.
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...Bob Samuels
This presentation was given at the Deep Dive Conference in November. 2013.
Big Data Applications... example, digital marketing, and targeting and optimization...
Feedback, and additional perspectives, is appreciated.
Thank you,
Bobby Samuels
TechConnectr.com
How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant.So, whenever a customer interacts with an organization, it is vital that the richness of information available on that customer informs and guides the processes that will help to maximize their experience, while simultaneously making the interaction as effective and efficient as possible. IBM provides several important capabilities to help organizations make effective use of big data and improve the customer experience.
Originally Published on Mar 27, 2015
The world has changed a lot in the past decade. We have seen a shift of power to the consumer. Consumers today are highly connected and demanding. Rather than seeking information from the companies they do business with, they come armed with information and mobile devices that allow them to research any topic in an instant. So, whenever a customer interacts with an organization, it is vital that the richness of information available on that customer informs and guides the processes that will help to maximize their experience, while simultaneously making the interaction as effective and efficient as possible. IBM provides several important capabilities to help organizations make effective use of big data and improve the customer experience.
06. DIGGIT MARIUS IVANOVAS (Httpool Baltics): Personalizirane marketinške akt...mateja repovž
Kompleksnost medijskega sveta zaznavamo, kot velike količine razpršenih in nepreglednih podatkov brez skupnega imenovalca. Integracija različnih virov podatkov, zbranih na enema mestu in prilagoditev vsem akterjem v marketingu in prodaji prispeva k hitrejšim in bolj utemeljenim odločitvam.
ANTS - 360 view of your customer - bigdata innovation summit 2016
Dữ liệu lớn, theo nghĩa đen, không phải là một cái gì đó mới, nó đã hiện hữu trong một thời gian dài. Bất kỳ một công ty đã kinh doanh trong một vài năm đều sở hữu một khối lượng dữ liệu từ thông tin khách hàng thông qua hồ sơ giao dịch và sử dụng sản phẩm. Những doanh nghiệp khác nhau sẽ có những khả năng khai thác và sử dụng dữ liệu lớn khác nhau.
Một số doanh nghiệp đã đạt đến độ chín muồi, trong khi đó một số doanh nghiệp khác chỉ vừa bắt đầu cuộc hành trình. Tại Việt Nam các doanh nghiệp viễn thông, các hãng hàng không, các ngân hàng, các tập đoàn bán lẻ, các cơ quan chính phủ đang sở hữu một khối lượng dữ liệu khổng lồ, tuy nhiên, việc xử lý, phân tích dữ liệu lớn còn đang trong giai đoạn rất sơ khai.
Diễn đàn dữ liệu lớn sẽ tập trung chia sẻ những kiến thức thực tế và mang tính chất ứng dụng để người tham dự có thể tích luỹ và áp dụng.
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
DemandMatrix tells you which accounts are using whatever hardware and software matters to you. Your products, the products of your competitors or complimentary products of current or potential alliance partners. With APIs, DemandMatrix can provide you with a continuous data feed or exchange data with your CRM or use the DemandMatrix platform for queries, modeling, and list-pulls.
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
This talk examines graph databases and Neo4j with a use-case driven approach. First, we look at some property graph model examples, taken from real-world datasets. Next we discuss converting a relational model to graph, using the canonical Northwind example. Finally, we dive into Fraud Detection and Personalized Recommendation examples, learning about Neo4j developer tooling as we explore these use cases.
In this session we will discuss the business case for a proactive, real-time fraud prevention strategy which enables you to maximize revenue opportunities whilst minimizing fraud. During the session we will create a fraud management check list which combines People, Processes and Technology, underpinned by data, analysis and tailored rules.
Big Data Done Right by Successful OrganizationsEuro IT Group
Euro IT Group can help you unlock the tones of information already flowing through your organization, analyze it, extract value and transform it into insight that drives growth and revenue. Furthermore, by going through one of our big data quick wins programs, you will be able to enjoy the benefits of big data extremely fast, test and validate big data technologies and make better strategic decisions for managing your overall company data; our quick win program enables you to enjoy quickly new insights and measurable results by putting at work your existing data streams and to test and validate Big Data Technologies that can complement your legacy BI / DWH infrastructure.
Ebook subscription services - an example of user-focused innovation in publis...Justo Hidalgo
Presentation of 24symbols at Paju Bookcity's Editor School in October 2015.
Topic: how subscription services support innovation in publishing. Subscription services provide the ability to increase innovation through its main characteristics: books on the cloud, hybrid curation, reader involvement and engagement hub. This pres explores each of these areas and how they can work together.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
Big Data: The Road to Know More About Your BusinessOAUGNJ
Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companies’ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.
Comtrade System Integration - Digital Banking in Retail - Customer EngagementVladimir Ljubibratic
Digital transformation as a business strategy is enabling disruption at the industry level and how it is happening is one company at time. VeriTouch solution for Microsoft Dynamics 365 platform is allowing banking organizations to better engage customers, empower employees, optimize operations and transform their products.
7 Traits of Highly Effective Digital Commerce OrganizationsSameer Khan
Commerce technology spending is up across the board. Retailers are significantly bolstering their capital investment programs. 85% will increase their spend on commerce technology in 2015. Is your organization prepared for the next generation of digital business?
Accelerating Personalization to Cut Through Digital NoisePrecisely
Your customers’ inboxes are overflowing with unread email. Even social media and text messages are ignored. There is simply too much digital content and too little time to consume it.
So how do you stand out and get your customers’ attention? You need to go beyond traditional Customer 360 efforts. To get your customers’ attention, you need to maximize personalization based on context.
Digitization of sales and marketing seminar in stockholm 17 october 2014Kimmo Kanerva
Seminar presentation in Stockholm on 17 October 2014.
Successful Digitization Requires: Clear Vision and Road Map, Agile Governance, Renewing Processes, New Competences and Data Orientation.
SLIDE 2: Digitalization of customer facing activities means e.g. product data management, eCommerce, CRM, knowledge management, marketing automation
SLIDES 3: Digitization Roadmap
SLIDE 4: Digitalization changes processes
SLIDE 5: Too many difficult concepts like knowledge management
SLIDE 6: Good vision & agile governance is required in order to be successful
SLIDE 7: Digital + Data = Sales Productivity
SLIDE 8: New marketing competences like customer experience, analytics, content marketing
SLIDE 9: New sales competences like social selling, analytics, digital collaboration
SLIDE 10-13: Predictive analytics. Sales want to have more consultative discussions
SLIDE 14-17: Ruukki B2C lead managment process and results
SLIDES: 18-22. Ruukki marketing automation example. Eloqua global winner of the Markie Award "The Best IT - Marketing Collaboration"
SLIDE 23: Summary: Renew processes, strategy and governance, new capabilities
How Santander UK Accelerates Digital Initiatives by Mastering Customer DataTamrMarketing
Jonathan Holman, Head of Digital Transformation at Santander, discusses the initiatives he’s leading in partnership with his award-winning team to accelerate digital transformation at Santander.
https://www.tamr.com/santander
Webinar: Scale Your ABM with AI-Driven Digital MarketingMintigo1
Account-based marketing (ABM) has changed the way B2B marketers target prospects with personalized content through digital ads and social media. To take advantage of these advancements you’ll need to make sure your tools are aligned with your ABM strategy.
Mintigo and Metadata.io are leading this transformation with sophisticated yet easy to use tools to discover your ideal customer profile and target accounts, analyze your buyer personas, deploy highly targeted account-based advertising, and ultimately build a stronger pipeline.
Nida Chughtai, VP of Marketing at Mintigo, and Gil Allouche, CEO of Metadata explain how to:
- Use AI to identify your most valuable accounts that are in market
- Determine the right content and the best ways to engage target accounts
- Personalize digital engagements through multivariate testing
This webinar is relevant to revenue marketers who go for true ROI and look to build pipeline for their sales counterparts.
As marketers, we are all feeling the pressure to measure the impact of every dollar we spend on marketing, and today, there is mounting focus put on the direct revenue impact of marketing on revenue. During this webinar we will showcase a framework for revenue marketers to maximize ROI through their digital marketing efforts.
Bridging the gap between digital and relationship marketing - DMA 2013 Though...Lars Crama
Bridging the Gap Between Digital and Relationship Marketing: The Next Big Thing for Data-Driven Marketers. Presentation by Selligent and 2organize at DMA2013 in Chicago
How is channel marketing evolving now that the value of consumer data is more...Grace Russell
The explosion of consumer data brings a lot of opportunity to the table, however with increased understanding of it's value, consumers want a lot more for it: individualised conversations, predictive personalisation, hyper convenience - and they want this across their preferred channels, on days and at times that suit them. They want a ‘customer-first’ value exchange, and if that’s not received they will find it somewhere else.
How DMP Will Save Marketing - Myths, Truths and Best PracticesAnnalect Finland
Annalect Finland's Managing Director Jussi Piri's presentation on DMPs, their role in Marketing, and how we at Annalect use them to reap fabulous results.
SEMPL 19: MARIUS IVANOVAS, Head of Performance & Biga Data Division, Httpool ...Sempl 21
Leveraging Big Data and Predictive Models to outperform in digital marketing
Marius will present how the advertisers are drastically improving overall marketing performance by leveraging Big Data, implementing visualisations of all results in real time and using predictive models, artificial intelligence to automatize campaign management.
Creating the golden record that makes every click personalJean-Michel Franco
This presentation shares real-world customer examples that illustrate how Master Data Management can make every customer interaction personal, including:
- Collect and reconcile customer data about identities, profiles, purchase history, preferences, and transactions
- Transform and augment this data into a 360° view of the customer with context, intentions, relationships, and interactions
- Turn data into insights with segments, scores, forecasts and recommendations
- Connect in real time to customer touch-points and turn those insights into increased conversion rates and customer loyalty
Leveraging big data to drive marketing innovationAndrew Leone
Summary of the book: "The Big Data-Driven Company." Contains insights into leveraging data to drive marketing innovation. To buy this book: http://amzn.to/1YTdtqY
Enabling digital business with governed data lakeKaran Sachdeva
Digital business is enabled by Artificial intelligence, Machine learning, and data science. Artificial intelligence and machine learning are dependent on right Information architecture and data foundation. Governed data lake infused with governance and data science platform gives you the power to take the organization in the digital transformation and AI journey.
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.
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).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Show drafts
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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.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
2. cleverdata.ru | info@cleverdata.ru
Make your data clever
Business development
of international
markets
One of the top-3 leading
Russian IT companies;
43 branches in Russia and abroad;
7000+ employees.
Marketing Data Platform
Data collection, client profile
building, data enrichment,
clients analytics;
Data Marketing Cloud
Cloud solution for effective interaction of
data suppliers and consumers.
Development and implementation of
predictive analytic models and Big Data
processing solutions;
In-house centers of development;
Partnership with global leading companies;
Centre of expertise for Big Data and
Digital Marketing technologies.
1DMP
3. cleverdata.ru | info@cleverdata.ru
What we do
• Development of high-load low-latency systems, distributed systems for data processing, and
systems for messages and events processing;
• Installation, configuration and development of applications based on Hadoop and NoSQL
solutions;
• Development of DW and automation of data stream processing.
• Rich expertise in machine learning algorithms (SVM, PCA, EM, Naïve Bayes, Deep Neural
Networks);
• Utilization of advanced mathematic tools to solve complicated tasks within a commercial
framework.
Development
Analytics Data Scientists
• Implementation of Campaign Management solutions based on IBM and Teradata products;
• Automation of marketing functionality and detailed customer analytics ACRM;
• Implementation of Splunk solutions for real-time operational analytics.
Implementation Implementation team
Big Data architects and developers
3
4. cleverdata.ru | info@cleverdata.ru
Business solutions
Data Management
Platforms
Customer base
and experience
management
Marketing
automation
Building of analytical DWs, development of
solutions for raw data collection based on Hadoop
stack and other Big Data technologies, and
knowledge extraction and auditory segmentation.
Building of predictive models of data processing
for effective retail customer relation management,
churn management, cross-sales, micro-
segmentation, 360° client profiling and scoring
models.
Implementation of omni-channel targeted
marketing across global leading vendors’
(campaigns, event-based marketing, customer
web experience management).
Our objective is to make your business more effective with the help of DATA
4
6. cleverdata.ru | info@cleverdata.ru
Now we are definitely in the DIGITAL BUSINESS era
6
2000 2005 2015 2020
Web E-Business
Digital
Marketing
Autonomous
Business
Digital
Business
Business
PeoplePeople
Business
People
Business
People
Things
Business
People
Things
Smart
Machines
In 2015, the big issue for enterprises is no longer about digital
transformation. It’s now about what business leaders will do with
their digital advantage
9. cleverdata.ru | info@cleverdata.ru
Client understanding = Business Priority №1
9
89% of customers will switch to another brand because
of a poor customer experience
We need to do two things:
to attract customers and
keep them.
The latter is more important
but more difficult: Once the
user is disappointed in the
service, they are unlikely to
return
10. cleverdata.ru | info@cleverdata.ru 1
“In 2017, the CMO will spend on
technology more than the CIO”
CMO - Chief Marketing Officer
CIO - Chief Information Officer
12. How to achieve all these goals at once?
What is the basis of the modern approach to marketing?
13. cleverdata.ru | info@cleverdata.ru
WHICH of your clients WHAT product to recommend
via WHAT channel of communications at WHAT time
• Customer profile building
• Micro segmentation
• Churn prediction
• Models for product
recommendations
• Prediction of respond for each
channel of communication
• Marketing signs and event detection
• Detection of the moment of maximum
propensity to make a purchase
• Collection of any types of data related to sales and customers interactions;
• Data processing with the use of machine learning algorithms.
1
Interest to products
Last events for customer Х
Data-Driven marketing
DATA
14. Data-driven marketing based on Big DATA
1dmp.io | info@cleverdata.ru
Three simple steps to efficiency
• To collect a huge volume of DATA
• To analysis DATA by using advanced analytics
• To use insights with maximum effectiveness
Efficiency confirmed by real experience:
One of the options
Targeted marketing
communications give + 14% CTR
and +10% conversion
Targeted offers are 18 times
more effective compared to standard
e-mailing
Tripled marketing
campaigns
effectiveness
15. Data Marketing Platform
Data Management Platform for Data-Driven Marketing
1dmp.io | info@cleverdata.ru
1DMP
Data collection and
management for
in-house advanced
analytics
«like ACRM but out of
the box»
1DMC
«Data Exchange» for
unique external data
delivery and
collaboration
with data partners
«like Equifax but for
marketing»
18. If this data is not collected and saved you
will never know it’s value
Do not let the trail disappear
19. Data collection and analytics
1dmp.io | info@cleverdata.ru
Customer Transactions
CRM
1thParty
Campaign Management
Call Center
Web/Mobile analytics
Applications
and systems
integration
Queue data
Product buying statistics
Loyalty and churn rates
Sensibility to communications
Machine
Learning
Decision
Modelling
Personalit
y Profiling
Trigger
Identificati
on
Event
Prediction
Relationsh
ip Profiling
Real-time
Analysis
Predefined models:
• Churn prediction
• Response prediction
• X-sale modeling
Advanced data analysis
• Machine learning algorithms application
• Rule-based segmentation
• Text mining and clustering
• Look alike algorithm for segmentation
• Internal and external data application
• Permanent self-learning models
Churn
35%
Loan
exposure.
LOW
Family income.
MID
Investments,
economy
66%
Cars
50%
Real Estate
90%
Savings
80%
Technology
63%
Activities
28%
LTV
MID
Life time
35.2 m
Loyalty
75%
Communication
rate
20%
Response
rate
18%
Complaint
0%
20. Data collection and analytics
1dmp.io | info@cleverdata.ru
Customer Transactions
CRM
1thParty
Campaign Management
Call Center
Web/Mobile Analytics
Applications
and systems
integration
Queue data
Products buying statistics
Loyalty and churn rates
Sensibility to communications
(Prescriptive)
What do I have to do next?
DATA
(Predictive)
What possible will happen?
(Diagnostic)
Why did this happened?
(Descriptive)
What happened?
Decision support
Decision automation
ACTIONDESICION
21. cleverdata.ru | info@cleverdata.ru
Customer buying behavior from their receipt data
• People buy pharmacy goods will also − with a high
probability − buy other pharmacy products (plausible).
• People who buy pharmacy goods will also − with a high
probability − buy perfume (they are complimentary).
• Interestingly, pharmacy goods are also often bought together
with stationery (this is not so obvious).
• Battery purchases are not correlated with
anything (i.e. they are often bought
alone).
How to increase sales based on data about pharmacy goods
We need more data!
22. 1dmp.io | info@cleverdata.ru 22
Digital channels now reach very deep
into people’s lives. To gain control over these points of access, forward-
thinking businesses are creating highly personalized experiences that
engage and delight consumers—without breaching their trust.
24. cleverdata.ru | info@cleverdata.ru
• Data belongs to it’s owner;
• Data Exchange does not determine prices.
Data Exchange is based on data owners interaction, not on
aggregation and reselling
• +10 data suppliers;
• Any types of data available on market;
• Single point of integration and payments;
• Data and auditory protection;
• Cross-device identification, high data density,
maximum hit rate;
• Unique interaction mode – shared learning.
Data supply:
• Auditory segments
• Personal profiles
• Data activation
• Targeted marketing;
• Risks and scoring management.
24
25. Data collection
Customer Transactions
CRM
1thParty
Campaign Management
Call Center
Web/Mobile analytics
Applications
and systems
integration
Web
Crawler
Online classifieds
Ecommerce sites
Forums and blogs
3rdParty
Social media data
Online ads (RTB)
Internet traffic
Public Data
Exchange
Business partners data
2thParty
Private DMP
• Text collection and analysis
• Classification
• Key words
• Events and facts detection
• Payment systems
• Retailers
• Airlines
• Auto dealers
Queue data
Products buying statistics
Loyalty and churn rates
Sensibility to communications
Intentions
Preferences and interests
Socio-demographic data
Contacts, social network
Behavioral characteristics
Financial state
Financial habits
Products preferences
Intentions and events
1dmp.io | info@cleverdata.ru
Channels for leads
generation
• RTB advertising:
• Mobile marketing:
• Email marketing:
26. What is 3D customer profile
Churn
35%
Loan
exposure.
LOW
Family income.
MID
Investments,
economy
66%
Cars
50%
Real Estate
90%
Savings
80%
Technology
63%
Activities
28%
LTV
MID
Life time
35.2 m
Loyalty
75%
Communication
rate
20%
Response
rate
18%
Complaint
0%
• Single customer or micro segment orientation;
• Reflection of the customer profile evolution –
trends and forecast;
• Real life operational data for marketing offers.
Accessible for marketers at any one time
1dmp.io | info@cleverdata.ru
Marketing signal
Dynamics of Travel interest
27. 1DMP - Data Marketing Platform
Data collection and storing:
• In-house data
• partnering companies data
• open source data from the Internet
• public data suppliers
3D customer profile
calculated by using artificial
intelligence
Use for targeted marketing across all channels
1dmp.io | info@cleverdata.ru
31. cleverdata.ru | info@cleverdata.ru
• Raw data storage and processing, including Big Data;
• Data source, DSP platforms and auction integration;
• High availability DW for processes information,
customers segments and profiles in accordance with
OpenRTB standard;
• Data collection from Internet (web crawler) and first-
party data enrichment;
• Text in natural languages analysis;
• Auditory and customer base analytics, management and
analysis;
• Data processing with the use of predictive analytics;
• Models and learning selections management;
• Web user tracking and tag management;
• Auditory segmentation and data mark-up, processing
rules setting.
1DMP
Big Data
storage
Machine
Learning
Real Time
storage
Predictive
analytics
GUI
Tag
Manager
31
32. Deployment options
Cloud service 1DMP.IO
On-premise deployment based
on open source components
Oracle Big Data Appliance
Deployment
1dmp.io | info@cleverdata.ru
1DMP Cloud service current version
Customization
On-premise
deployment and
integration
Analytical model
customization
Customer version support
2-3 months for business results
Data suppliers
connection
Solution delivery under AGPL license
33. 1DMP for Enterprise
PARTNER PERSPECTIVE
1DMP platform on Oracle Big Data Appliance
will allow customers to build their own data
management solutions, such as tools for the collection and
classification of web data, and user profile management
within the data driven marketing model
- Denis Afanasev, CEO
The system was able to handle 101 361.32 requests per
second with the 99th percentile of latency equal to 1.17ms.
This means that Big Data Appliance was able to handle
1.45 times more requests per second with the 1.7 times
better latency using just a single nod;
Classification time of the same dataset on the 3 nodes of
Oracle Big Data Appliance took 25.45 mins, which is 4.81
times faster than a baseline;
Classification time of the same dataset on the 6 nodes of
Oracle Big Data Appliance took 11.28 mins, which is 5.43
times faster than the expected baseline.
COMPANY OVERVIEW
CleverDATA
Industry: Information technology
Employees: 20
Revenue: $1M
GOALS/OBJECTIVES
CleverDATA is a Big Data ISV in Russia specializing in solutions which support
our client’s marketing campaigns. The company developed 1DMP – a data
management platform which uses Hadoop and Aerospike NoSQL DB on a
technology layer. We are going to migrate 1DMP to Oracle NoSQL and BDA
and to certify the solution on BDA under BDA Ready and Optimized Program
SOLUTIONS
1DMP 0.5.0.0
Oracle NoSQL Database
Oracke Big Data Appliance
Cloudera Distribution of Apache Hadoop (CDH 4.x & 5.x) + Cloudera
Manager
RESULTS
1dmp.io | info@cleverdata.ru