An introduction to active|watch where insight comes as standard. Exploit social media, blogs, forums and websites. Rapidly create competitive intelligence and steal a winning advantage. safeguard your reputation and valuable assets. look ahead and get out in from of the competition.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”VOGIN-academie
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their solution, Semaphore, uses natural language processing and machine learning to automatically enrich content with metadata, extract entities and facts, and categorize content according to customizable semantic models or ontologies. This helps organizations more effectively search, discover, and leverage information across diverse content sources. Semaphore delivers enhanced search capabilities, automated categorization, and tools to build and manage semantic models collaboratively. Customers report benefits such as reduced time spent searching, lower classification costs, and reduced risk of non-compliance by making more information accessible.
This document discusses how taxonomies and ontologies can improve enterprise search capabilities. It provides examples from case studies of organizations in the military, retail, and financial sectors. The case studies demonstrate how developing taxonomies, ontologies, content types and metadata structures helped organizations better classify, search and retrieve unstructured content to meet business needs.
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
ŠVOČ: Design and architecture of a web applications for interactive display o...Martin Puškáč
My ŠVOČ (Študentská vedecká činnosť) based on my Bachelor thesis with title "Design and architecture of a web applications for interactive display of criminal statistical data".
Gartner predicts major changes in business intelligence and analytics over the next few years. They forecast that 4.4 million new big data jobs will be needed globally but only a third will be filled. Most BI vendors will shift from reporting to more advanced analytics capabilities. Additionally, 90% of big data assets will remain siloed within individual business units and not accessible across the organization. Premiums for skills in big data and analytics are expected to remain 20-30% higher than traditional IT skills.
Achieving Privacy in Publishing Search logsIOSR Journals
The document discusses algorithms for publishing search logs while preserving user privacy. It analyzes a search log using an algorithm that produces three types of outputs: query counts, a query-action graph showing query-result click counts, and a query-reformulation graph showing query suggestions clicked. The algorithm adds noise to query counts before publishing to achieve differential privacy. It aims to provide useful aggregated information for applications like search improvement while preventing re-identification of individual user data in the search log.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”VOGIN-academie
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their solution, Semaphore, uses natural language processing and machine learning to automatically enrich content with metadata, extract entities and facts, and categorize content according to customizable semantic models or ontologies. This helps organizations more effectively search, discover, and leverage information across diverse content sources. Semaphore delivers enhanced search capabilities, automated categorization, and tools to build and manage semantic models collaboratively. Customers report benefits such as reduced time spent searching, lower classification costs, and reduced risk of non-compliance by making more information accessible.
This document discusses how taxonomies and ontologies can improve enterprise search capabilities. It provides examples from case studies of organizations in the military, retail, and financial sectors. The case studies demonstrate how developing taxonomies, ontologies, content types and metadata structures helped organizations better classify, search and retrieve unstructured content to meet business needs.
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio
platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence (BI) initiatives.
ŠVOČ: Design and architecture of a web applications for interactive display o...Martin Puškáč
My ŠVOČ (Študentská vedecká činnosť) based on my Bachelor thesis with title "Design and architecture of a web applications for interactive display of criminal statistical data".
Gartner predicts major changes in business intelligence and analytics over the next few years. They forecast that 4.4 million new big data jobs will be needed globally but only a third will be filled. Most BI vendors will shift from reporting to more advanced analytics capabilities. Additionally, 90% of big data assets will remain siloed within individual business units and not accessible across the organization. Premiums for skills in big data and analytics are expected to remain 20-30% higher than traditional IT skills.
Achieving Privacy in Publishing Search logsIOSR Journals
The document discusses algorithms for publishing search logs while preserving user privacy. It analyzes a search log using an algorithm that produces three types of outputs: query counts, a query-action graph showing query-result click counts, and a query-reformulation graph showing query suggestions clicked. The algorithm adds noise to query counts before publishing to achieve differential privacy. It aims to provide useful aggregated information for applications like search improvement while preventing re-identification of individual user data in the search log.
Project Panorama: vistas on validated informationEric Sieverts
The document discusses the Project Panorama which aims to address problems with finding trusted and validated information online. It seeks to create a search system that indexes validated information from libraries and makes it easily accessible to the public for free. It conducted interviews and found that people want a simple one-stop search that can both search various resources and provide full-text access or pointers to full content when needed. It considers using an integrated search engine or federated search and how best to provide access to licensed materials.
This paper explores the Consumer Data Management, Consumer Data Management CDM area as the process and framework for collecting, managing, and analyzing consumer data from various sources in order to form a unified view of each client. Customer data management is the way companies keep track of their customer information and ensure proper and relevant data is obtained. Vrinda Bhateja "Consumer Data Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31555.pdf Paper Url :https://www.ijtsrd.com/management/operations-management/31555/consumer-data-management/vrinda-bhateja
John Paredes has over 25 years of experience in data warehousing, business intelligence, and analytics. He specializes in dimensional data modeling for SQL Server Analysis Services cubes and has extensive experience with ETL processes using T-SQL and SSIS. He has expertise in healthcare, telecom, sales/marketing, finance, and manufacturing analytics. His background includes projects designing and building data warehouses, OLAP cubes, reports, and dashboards to support business intelligence and decision making. He has worked extensively with Microsoft SQL Server and Oracle BI tools.
Evolution of the HTAi vortal : a user-centered approachPatrice Chalon
The document summarizes the results of an online survey conducted among HTAi, INAHTA and EUnetHTA members in 2011 regarding their use and satisfaction of the HTAi vortal. Respondents liked using the vortal to systematically search for relevant literature, obtain guidance on special subjects, and get an introduction or overview on specific fields. They disliked limitations in search functionality and that information was not sufficiently updated. The most popular sections included health economics, guidelines and resources, agencies and organizations, and searching the HTA literature. Suggestions for improvement included fewer clicks to access resources, links to methods discussions, and enhanced search capabilities and interface.
Expert Webinar Series 2: Designing Information Architecture for SharePoint: M...martingarland
This document provides an overview and agenda for a session on designing information architecture for SharePoint. The session will cover definitions of taxonomy and metadata, determining how to organize content and key metadata fields, and validating the information architecture. It will include a demonstration of Concept Searching's TaxonomyManager tool, which can help build taxonomies faster and more easily validate them by automatically classifying documents.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
The document discusses data classification, which involves organizing data into categories to make it easier to analyze and retrieve. It covers the objectives of classification like arranging large volumes of data and highlighting similarities. The key types are one-way, two-way, and multi-way classification. Classification provides benefits like confidentiality, integrity, and availability of data. Methods involve scanning, identifying, separating data, and creating a classification policy.
Certain Issues in Web Page Prediction, Classification and Clustering in Data ...IJAEMSJORNAL
Nowadays, data mining which is a part of web mining plays a vital role in various applications such as search engines, health care centers for extracting the individual patient details among huge database, analyzing disease based on basic criteria, education system for analyzing their performance level with other system, social networking, E-Commerce and knowledge management etc., which extract the information based on the user query. The issues are time taken to mine the target content or webpage from the search engines, space complexity and predicting the frequent webpage for the next user based on users’ behaviour.
Modeling & managing metadata for greater productivityJean Graef
1. The document discusses how to build a metadata model to manage metadata for greater productivity. It provides definitions of metadata and examples of metadata used for recipes, reference materials, grocery shopping, and market research.
2. It emphasizes the importance of managing metadata for accessibility, consistency, understanding, and time savings. Examples are given of metadata models and repositories.
3. Tips are provided for developing a successful metadata model and management strategy, such as using prototypes, avoiding technical terms, and cultivating diverse perspectives.
The document discusses metadata repositories and their role in search and discovery. It provides examples of metadata repositories like library card catalogs and bibliographic databases. It describes how metadata repositories store metadata separately from content in order to standardize, share, and search metadata more easily. Commercial metadata repository products are also discussed, including their features and pricing.
A survey on various architectures, models and methodologies for information r...IAEME Publication
This document discusses various architectures, models, and methodologies used in information retrieval. It describes query models, ranking models, and feedback models used by researchers. It also highlights the importance of using context-based queries to better understand a user's search intent. The document provides an extensive survey of different approaches used in information retrieval systems and how adding context can help improve search results.
11 Strategic Considerations for SharePoint Migration, presentation given by Christian Buckley at the SharePoint Best Practices Conference in August 2010, Reston VA
Zurich Insurance is implementing the Alation Data Catalog to improve its data management and empower data scientists. Key points:
1) Zurich's previous metadata system was less user-friendly and did not allow dashboard views or efficient searching of objects. Alation automates metadata ingestion and provides improved search capabilities.
2) Users found Alation easier to use than the legacy system, with features like natural language search, data lineage tracing, and collaborative functions like commenting.
3) Zurich aims to integrate Alation with its data engineering tools to enable easier data discovery and reuse by data scientists. The catalog is a critical part of building a more data-driven organization.
Structured SEO Data: An overview and how to for Drupalcgmonroe
This document provides an overview of structured data and how to implement it in Drupal using the MetaTag and Schema Metatag modules. It discusses why structured data is useful for SEO, gives examples of rich snippets and knowledge graphs, and outlines how to set global and per-entity structured data defaults in Drupal. It also provides tips on validation and best practices for structured data implementation.
Remadder is an affordable and powerful record linkage and data cleansing software, with great fuzzy record matching and data deduplication capabilities.
By combining advanced artificial intelligence with clever blocking techniques and multiple string similarity metrics, ReMaDDer provides unique and superb solution for fully automatic records matching and data deduplication projects.
It's user-friendly graphical interface provides intuitive means for projects creation, raw data import and solutions definition, while server-side database, placed in cloud, provides mighty data processing and fuzzy match record linkage engine that can process and solve even the most complex fuzzy match analysis in reasonable time.
Discovering Big Data in the Fog: Why Catalogs MatterEric Kavanagh
1. The document introduces Waterline Data, a data cataloging solution that automatically discovers, organizes, tags, and curates data across multiple sources to answer key questions about data location, lineage, content, and access.
2. It provides an overview of how Waterline works, using machine learning and crowdsourcing to match data fingerprints to terms and continuously improve. This enables users to search for and access the right data.
3. The presentation highlights a case study where Waterline helped optimize a customer's credit scoring services by providing centralized visibility and control over data across 11 countries, improving accuracy, responsiveness to changes, and reducing costs.
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
This document discusses using Denodo's data virtualization platform to create a data marketplace. It describes how the Denodo Data Catalog integrated with the data virtualization layer allows business users to discover, access, customize and share data views. The catalog provides metadata about available datasets and allows users to preview the actual data. This creates a single point of access for self-service business intelligence and application development across the organization. The presentation concludes with a demo of the Denodo Data Catalog capabilities.
Local information management: the end user revolutionJean Graef
The document discusses end-user development, where users create tools and applications to meet their own needs rather than relying on IT departments. It provides examples of mashups, plugins, and databases created by end users. It also outlines reasons for and against end-user development, as well as tools, techniques, and best practices for supporting this type of grassroots computing.
Apache Spark + AI Helps and FDA Protects the Nation with Jonathan Chu and Kun...Databricks
The FDA Office of Regulatory Affairs (ORA) manages the process whereby all products imported into United States are screened by electronic systems and human inspections, https://www.fda.gov/ForIndustry/ImportProgram/.
About 40 million products are monitored annually resulting in 6 billion data records that need to be processed every night. Booz Allen built an Apache Spark system to analyze the FDA ORA data and to predict violations. The solution uses enterprise friendly SQL framework to expand from data aggregation to Machine Learning without heavy coding.
The system enables any enterprise DBA or analyst easily access, filter and transform data to apply the latest machine learning models. These analysts are able to process 6 billion records from various databases and other sources every night without any prior experience with Apache Spark. This helped to scale the Apache Spark solution enable data warehouse/RDBM experts to process powerful analytics workloads without needing to know Scala or Python.
Self-service analytics tools are empowering business users to perform complex data analysis without relying on traditional BI teams. This changes risks that must be addressed, including ensuring proper access controls and understanding where data is sourced from. Key considerations for implementing these tools include whether data contains sensitive personal information, who the audience and purpose of analyses are, and who is responsible for data quality.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
Project Panorama: vistas on validated informationEric Sieverts
The document discusses the Project Panorama which aims to address problems with finding trusted and validated information online. It seeks to create a search system that indexes validated information from libraries and makes it easily accessible to the public for free. It conducted interviews and found that people want a simple one-stop search that can both search various resources and provide full-text access or pointers to full content when needed. It considers using an integrated search engine or federated search and how best to provide access to licensed materials.
This paper explores the Consumer Data Management, Consumer Data Management CDM area as the process and framework for collecting, managing, and analyzing consumer data from various sources in order to form a unified view of each client. Customer data management is the way companies keep track of their customer information and ensure proper and relevant data is obtained. Vrinda Bhateja "Consumer Data Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31555.pdf Paper Url :https://www.ijtsrd.com/management/operations-management/31555/consumer-data-management/vrinda-bhateja
John Paredes has over 25 years of experience in data warehousing, business intelligence, and analytics. He specializes in dimensional data modeling for SQL Server Analysis Services cubes and has extensive experience with ETL processes using T-SQL and SSIS. He has expertise in healthcare, telecom, sales/marketing, finance, and manufacturing analytics. His background includes projects designing and building data warehouses, OLAP cubes, reports, and dashboards to support business intelligence and decision making. He has worked extensively with Microsoft SQL Server and Oracle BI tools.
Evolution of the HTAi vortal : a user-centered approachPatrice Chalon
The document summarizes the results of an online survey conducted among HTAi, INAHTA and EUnetHTA members in 2011 regarding their use and satisfaction of the HTAi vortal. Respondents liked using the vortal to systematically search for relevant literature, obtain guidance on special subjects, and get an introduction or overview on specific fields. They disliked limitations in search functionality and that information was not sufficiently updated. The most popular sections included health economics, guidelines and resources, agencies and organizations, and searching the HTA literature. Suggestions for improvement included fewer clicks to access resources, links to methods discussions, and enhanced search capabilities and interface.
Expert Webinar Series 2: Designing Information Architecture for SharePoint: M...martingarland
This document provides an overview and agenda for a session on designing information architecture for SharePoint. The session will cover definitions of taxonomy and metadata, determining how to organize content and key metadata fields, and validating the information architecture. It will include a demonstration of Concept Searching's TaxonomyManager tool, which can help build taxonomies faster and more easily validate them by automatically classifying documents.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
The document discusses data classification, which involves organizing data into categories to make it easier to analyze and retrieve. It covers the objectives of classification like arranging large volumes of data and highlighting similarities. The key types are one-way, two-way, and multi-way classification. Classification provides benefits like confidentiality, integrity, and availability of data. Methods involve scanning, identifying, separating data, and creating a classification policy.
Certain Issues in Web Page Prediction, Classification and Clustering in Data ...IJAEMSJORNAL
Nowadays, data mining which is a part of web mining plays a vital role in various applications such as search engines, health care centers for extracting the individual patient details among huge database, analyzing disease based on basic criteria, education system for analyzing their performance level with other system, social networking, E-Commerce and knowledge management etc., which extract the information based on the user query. The issues are time taken to mine the target content or webpage from the search engines, space complexity and predicting the frequent webpage for the next user based on users’ behaviour.
Modeling & managing metadata for greater productivityJean Graef
1. The document discusses how to build a metadata model to manage metadata for greater productivity. It provides definitions of metadata and examples of metadata used for recipes, reference materials, grocery shopping, and market research.
2. It emphasizes the importance of managing metadata for accessibility, consistency, understanding, and time savings. Examples are given of metadata models and repositories.
3. Tips are provided for developing a successful metadata model and management strategy, such as using prototypes, avoiding technical terms, and cultivating diverse perspectives.
The document discusses metadata repositories and their role in search and discovery. It provides examples of metadata repositories like library card catalogs and bibliographic databases. It describes how metadata repositories store metadata separately from content in order to standardize, share, and search metadata more easily. Commercial metadata repository products are also discussed, including their features and pricing.
A survey on various architectures, models and methodologies for information r...IAEME Publication
This document discusses various architectures, models, and methodologies used in information retrieval. It describes query models, ranking models, and feedback models used by researchers. It also highlights the importance of using context-based queries to better understand a user's search intent. The document provides an extensive survey of different approaches used in information retrieval systems and how adding context can help improve search results.
11 Strategic Considerations for SharePoint Migration, presentation given by Christian Buckley at the SharePoint Best Practices Conference in August 2010, Reston VA
Zurich Insurance is implementing the Alation Data Catalog to improve its data management and empower data scientists. Key points:
1) Zurich's previous metadata system was less user-friendly and did not allow dashboard views or efficient searching of objects. Alation automates metadata ingestion and provides improved search capabilities.
2) Users found Alation easier to use than the legacy system, with features like natural language search, data lineage tracing, and collaborative functions like commenting.
3) Zurich aims to integrate Alation with its data engineering tools to enable easier data discovery and reuse by data scientists. The catalog is a critical part of building a more data-driven organization.
Structured SEO Data: An overview and how to for Drupalcgmonroe
This document provides an overview of structured data and how to implement it in Drupal using the MetaTag and Schema Metatag modules. It discusses why structured data is useful for SEO, gives examples of rich snippets and knowledge graphs, and outlines how to set global and per-entity structured data defaults in Drupal. It also provides tips on validation and best practices for structured data implementation.
Remadder is an affordable and powerful record linkage and data cleansing software, with great fuzzy record matching and data deduplication capabilities.
By combining advanced artificial intelligence with clever blocking techniques and multiple string similarity metrics, ReMaDDer provides unique and superb solution for fully automatic records matching and data deduplication projects.
It's user-friendly graphical interface provides intuitive means for projects creation, raw data import and solutions definition, while server-side database, placed in cloud, provides mighty data processing and fuzzy match record linkage engine that can process and solve even the most complex fuzzy match analysis in reasonable time.
Discovering Big Data in the Fog: Why Catalogs MatterEric Kavanagh
1. The document introduces Waterline Data, a data cataloging solution that automatically discovers, organizes, tags, and curates data across multiple sources to answer key questions about data location, lineage, content, and access.
2. It provides an overview of how Waterline works, using machine learning and crowdsourcing to match data fingerprints to terms and continuously improve. This enables users to search for and access the right data.
3. The presentation highlights a case study where Waterline helped optimize a customer's credit scoring services by providing centralized visibility and control over data across 11 countries, improving accuracy, responsiveness to changes, and reducing costs.
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
This document discusses using Denodo's data virtualization platform to create a data marketplace. It describes how the Denodo Data Catalog integrated with the data virtualization layer allows business users to discover, access, customize and share data views. The catalog provides metadata about available datasets and allows users to preview the actual data. This creates a single point of access for self-service business intelligence and application development across the organization. The presentation concludes with a demo of the Denodo Data Catalog capabilities.
Local information management: the end user revolutionJean Graef
The document discusses end-user development, where users create tools and applications to meet their own needs rather than relying on IT departments. It provides examples of mashups, plugins, and databases created by end users. It also outlines reasons for and against end-user development, as well as tools, techniques, and best practices for supporting this type of grassroots computing.
Apache Spark + AI Helps and FDA Protects the Nation with Jonathan Chu and Kun...Databricks
The FDA Office of Regulatory Affairs (ORA) manages the process whereby all products imported into United States are screened by electronic systems and human inspections, https://www.fda.gov/ForIndustry/ImportProgram/.
About 40 million products are monitored annually resulting in 6 billion data records that need to be processed every night. Booz Allen built an Apache Spark system to analyze the FDA ORA data and to predict violations. The solution uses enterprise friendly SQL framework to expand from data aggregation to Machine Learning without heavy coding.
The system enables any enterprise DBA or analyst easily access, filter and transform data to apply the latest machine learning models. These analysts are able to process 6 billion records from various databases and other sources every night without any prior experience with Apache Spark. This helped to scale the Apache Spark solution enable data warehouse/RDBM experts to process powerful analytics workloads without needing to know Scala or Python.
Self-service analytics tools are empowering business users to perform complex data analysis without relying on traditional BI teams. This changes risks that must be addressed, including ensuring proper access controls and understanding where data is sourced from. Key considerations for implementing these tools include whether data contains sensitive personal information, who the audience and purpose of analyses are, and who is responsible for data quality.
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
At the core of the Service-Oriented Architecture (SOA) vision is the concept of a ‘service bus’
that can route messages and notifications between any services, whether developed in-house,
purchased from a third-party, or hosted over the Internet. A similar opportunity exists for inte-
grating the complete workflow between people and applications. Routing messages and noti-
fications between applications and their users (and all of those users’ myriad new mobile and
multimedia devices) calls for a Syndication-Oriented Architecture that can unlock a new level of
business intelligence.
The document discusses collecting data on a mobile app over two time periods to analyze the impact of new features on key metrics like new users, sessions, and session duration. Data was collected using Google Analytics on dimensions like user type, sessions, and devices. The hypothesis is that the app would see a sudden influx of new users and increased usage with the addition of a new useful feature. Statistics were analyzed and visualized to evaluate if the hypotheses were true and identify reasons for the outcomes. A non-visualized data set with metrics for app versions over the periods is also presented.
I was invited to speak at OMCap Berlin 2014 about the close relationship between search engines and user experience with prescriptive guidance to gain higher rankings and more conversions.
Smartlogic, Semaphore and Semantically Enhanced Search – For “Discovery”voginip
Smartlogic provides semantic search and content intelligence solutions to unlock business value from unstructured content. Their software, Semaphore, uses natural language processing and machine learning to build ontologies and automatically annotate content with metadata, enabling more sophisticated search and discovery of hidden knowledge within large volumes of documents. Semaphore integrates with various systems and delivers benefits such as cost savings from more efficient content exploration, risk reduction through improved compliance, and competitive advantages from making better use of organizational intelligence in content.
The document defines data mining as extracting useful information from large datasets. It discusses two main types of data mining tasks: descriptive tasks like frequent pattern mining and classification/prediction tasks like decision trees. Several data mining techniques are covered, including association, classification, clustering, prediction, sequential patterns, and decision trees. Real-world applications of data mining are also outlined, such as market basket analysis, fraud detection, healthcare, education, and CRM.
This document discusses different approaches for analyzing social media data to gain customer insights:
1) Channel reporting tools provide overviews of specific social media platforms but lack deeper insights.
2) Scorecard systems aggregate data across sources but users cannot enhance the data.
3) Text mining analyzes sentiment but network analysis examines relationships; each technique has limitations alone.
4) The document proposes combining text mining, network analysis, and other techniques using a predictive analytics platform to generate new insights, as was done successfully for a major European telecom company.
It provides examples analyzing publicly available Slashdot data to identify influencers and show how sentiment relates to influence.
Avoiding Anonymous Users in Multiple Social Media Networks (SMN)paperpublications3
Abstract: The main aim of this project is secure the user login and data sharing among the social networks like Gmail, Facebook and also find anonymous user using this networks. If the original user not available in the networks, but their friends or anonymous user knows their login details means possible to misuse their chats. In this project we have to overcome the anonymous user using the network without original user knowledge. Unauthorized user using the login to chat, share images or videos etc This is the problem to be overcome in this project .That means user first register their details with one secured question and answer. Because the anonymous user can delete their chat or data In this by using the secured questions we have to recover the unauthorized user chat history or sharing details with their IP address or MAC address. So in this project they have found out a way to prevent the anonymous users misuse the original user login details.
Odam an optimized distributed association rule mining algorithm (synopsis)Mumbai Academisc
This document proposes ODAM, an optimized distributed association rule mining algorithm. It aims to discover rules based on higher-order associations between items in distributed textual documents that are neither vertically nor horizontally distributed, but rather a hybrid of the two. Modern organizations have geographically distributed data stored locally at each site, making centralized data mining infeasible due to high communication costs. Distributed data mining emerged to address this challenge. ODAM reduces communication costs compared to previous distributed ARM algorithms by mining patterns across distributed databases without requiring data consolidation.
This document presents a proposed system called "One Stop Recommendation" that aims to provide movie and television show recommendations for multiple over-the-top (OTT) platforms like Netflix, Amazon Prime Video, and Hotstar. It would create a single dashboard with screens for each OTT platform. Data would be collected from sources like Kaggle and Google Forms. The system would use different recommendation techniques like content-based filtering, collaborative filtering, and cosine similarity to provide unified recommendations across platforms. It aims to help users more easily find content suggestions and gain insights from visualization of the recommendation data.
This document presents a proposed system called "One Stop Recommendation" that aims to provide movie and television show recommendations for multiple over-the-top (OTT) platforms like Netflix, Amazon Prime Video, and Hotstar. It would create a single dashboard with screens for each OTT platform. Data would be collected from sources like Kaggle and Google Forms. The system would use different recommendation techniques like content-based filtering, collaborative filtering, and cosine similarity to provide unified recommendations across platforms. It aims to help users more easily find content suggestions and gain insights from visualization of the recommendation data.
The project is to ask college related queries and get the responses through a chatbot an Artificial Conversational Entity. This System is a web application which provides answer to the query of the student. Students just have to query through the bot which is used for chatting. Students can chat using any format there is no specific format the user has to follow. This system helps the student to be updated about the college activities.
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Successfully supporting managerial decision-making is critically dep.pdfanushasarees
Successfully supporting managerial decision-making is critically dependent upon the availability
of integrated, high quality information organized and presented in a timely and easily understood
manner. Data warehouses have emerged to meet this need. They serve as an integrated repository
for internal and external data—intelligence critical to understanding and evaluating the business
within its environmental context. With the addition of models, analytic tools, and user interfaces,
they have the potential to provide actionable information resources—business intelligence that
supports effective problem and opportunity identification, critical decision-making, and strategy
formulation, implementation, and evaluation. Four themes frame our analysis: integration,
implementation, intelligence, and innovation.
1:four major categories of business environment factors is
INTEGRATION,IMPLEMENTATION,INTELLIGENCE AND INNOVATION.
Organizations use data warehousing to support strategic and mission-critical applications. Data
deposited into the data warehouse must be transformed into information and knowledge and
appropriately disseminated to decision-makers within the organization and to critical partners in
various capacities within the organizational value chain. Crucial problems that must be addressed
in this area are: the modes of dissemination of information to the end user; the development,
selection, and implementation of appropriate models, analytic tools, and data mining tools; the
privacy and security of data; system performance; and adequate levels of training and support.
The human–computer interface is of paramount importance in the data warehouse environment
and the primary determinant of success from the end-user perspective. In order to support
analysis and reporting tasks, the data warehouse must have high quality data and make these data
accessible through intuitive interface technologies. Data warehouse browsing tools provide star-
schema query-like access through a flexible menu-based interface, with pull-down menus
representing important dimensions. These types of tools are easy to use and support some ad-hoc
exploration, but are usually controlled through an administrative layer that determines the data
available to endusers. In developing a flexible interface, there is a tradeoff between the ability to
express ad-hoc queries and the ease-of-use that results from pre-defined constructs implemented
by data warehouse designers and administrators. Of course, SQL can provide an ad-hoc query
facility, but its use requires some care in the data warehouse environment where the combination
of very large tables and ill-formed user queries can produce some truly awful performance and
potentially erroneous results. Casual users may not have sufficient understanding of SQL or of
the database schema to effectively use such an interface. Typically, only trained power users
(e.g., DBAs, application developers) are permitted to write SQL queries on .
This document discusses big data and its applications in various industries. It begins by defining big data and its key characteristics of volume, velocity, variety and veracity. It then discusses how big data can be used for log analytics, fraud detection, social media analysis, risk modeling and other applications. The document also outlines some of the major challenges faced in the banking and financial services industry, including increasing competition, regulatory pressures, security issues, and adapting to digital shifts. It concludes by noting how big data analytics can help eCommerce businesses make fact-based, quantitative decisions to gain competitive advantages and optimize goals.
Future of text analysis forrester briefingStuart Shulman
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This is a short presentation about the FAIR Metrics Evaluator - software that automates the application of FAIR Metrics against a given resource, in order to determine its degree of "FAIRness"
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"We now do Agile BI too” is often heard in todays BI community. But can you really "create" agile in Business Intelligence projects? This presentation shows that Agile BI doesn't necessarily start with the introduction of an iterative project approach. An organisation is well advised to establish first the necessary foundations in regards to organisation, business and technology in order to become capable of an iterative, incremental project approach in the BI domain.
In this session you learn which building blocks you need to consider. In addition you will see what a meaningful sequence to these building blocks is. Selected aspects like test automation, BI specific design patterns as well as the Disciplined Agile Framework will be explained in more and practical details.
Here are the key requirements for the Compijudge computerized automated secure system for running programming contests online:
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3. Online: The system needs to support an online, internet-based interface so that programming contests can be run remotely with
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Understanding User Behavior with Google Analytics.pdfSEO Article Boost
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2. www.sevenquestions.com
active|watch is a cloud-based
indexing, search & analysis
platform
active|watch provides our clients with powerful behind
the scenes capability and accessible, shared cloud-
based, easily adjusted, dashboards for the
consumption and sharing of information.
active|watch is driven by proven world class
software.
The software engine behind active|watch is trusted by over 130
organizations, including Government and Fortune 100 companies to
provide them with internet intelligence and insight for their key decision
makers and teams.
active|watch
world-class search and indexing capability
3. www.sevenquestions.com
indexing technology; not search
Each document collected by active|watch is indexed
by the software’s algorithms. This indexing is similar to
‘reading’ each piece of information and identify key
phrases (either automatically or with reference to
defined databases).
The software uses these identified phrases and
concepts to compare documents, analyzing
occurrences and links between thousands of
seemingly disparate pieces of information.
It is these linkages and the indexing of each and every
piece of information collected that makes active|watch
such a powerful tool.
Not a basic internet search;
Not a scraping programme;
An internet insight and intelligence tool.
superior indexing technology
so much more than internet search
Translate into English at the
touch of a button. The software
supports 10+ languages
natively, more can be added.Quickly search each
document
The native indexing automatically algorithm
identifies noun phrases of potential interest
(‘significant expressions’) within each
document. These terms can be compared
across thousands of collected documents to
identify trends and insights.
Databases of key terms (places, concepts,
organizations, people etc) are developed in
conjunction with clients to focus the search,
indexing and subsequent analysis on their
precise needs and issues.
Location of this document within
the cloud archive
4. www.sevenquestions.com
background analysis
active|watch uses its indexing algorithms to make and
analysis connections between documents. It does this
automatically, efficiently and ‘in the background’.
The outputs from this indexing are a wide array of charts
and analytical tools. Whilst the manner of display is
important, it is the content of this analysis that is
powerful.
The key function of background analysis is to identify
‘weak signals’ – the genesis of future trends and the
source of competitive success. Early identification of
weak signals in conjunction with other background
analysis outputs, such as identification of relationships
between concepts, people or organizations, provide out
clients with exploitable intelligence for commercial
advantage.
Most of our clients opt to leave the set up and runnign of
th ebackground analysis to us. We peridolically share
the results and are alwasy able to step up trainign for
key memebrs of the client team in order to transition
background analysis competetncies ot the client team.
comprehensive analysis
exploiting the indexing capabilities of active|watch
5. www.sevenquestions.com
the active|watch open source
intelligence collection cycle
+subscribed
what is the process?
active|watch uses its indexing algorithms to make and
analysis connections between documents. It does this
automatically, efficiently and ‘in the background’.
The outputs from this indexing are a wide array of charts
and analytical tools. Whilst the manner of display is
important, it is the content of this analysis that is
powerful.
The key function of background analysis is to identify
‘weak signals’ – the genesis of future trends and the
source of competitive success. Early identification of
weak signals in conjunction with other background
analysis outputs, such as identification of relationships
between concepts, people or organizations, provide out
clients with exploitable intelligence for commercial
advantage.
Most of our clients opt to leave the set up and running of
the background analysis to us initially. We periodically
share the results and are alwasy able to step up training
for key memebrs of the client team in order to transition
background analysis competetncies ot the client team.
6. www.sevenquestions.com
inputs & outputs
it’s all about sources & terms
what are the inputs?
active|watch is driven by sources & terms.
Sources are selected to deliver optimum content. A
source can be a single RSS feed or social media stream.
A source might be ‘all blogs’ mentioning a certain term.
A source could be an aggregated group of feeds, the
sum of which deliver the most meaningful content on any
given subject. Sources can include purchased
subscriptions or forum posts surrounding a certain issue.
Terms are concepts, ideas, organisations, people
relevant to the intelligence collection requirements of the
client. Terms drive the collection plan and shape the
subsequent analysis and display of information.
what are the outputs?
The primary output of active|watch is analysed data from
the focused collects which are displayed on dashboards
for the client’s users.
Secondary outputs include email bulletins, RSS feeds
and email alerts.
7. www.sevenquestions.com
bulletins & alerts
regular email bulletins
Email bulletins can be set up to send the content of
specific searches to email addresses on a daily or more
frequent basis.
Email alerts provide a focused and automated
information sharing capability to improve situational
awareness across teams and locations.
These bulletins significantly improve overall team
efficiency and awareness whilst reducing duplication of
effort.
RSS feeds can also be set up to stream the output of
specified daily information collections.
email alerts
Email alerts are set up according to rules and are sent
when the conditions are met.
These bulletins remove the requirement for websites to
be revisited to check for updates and allow large
numbers of sites and sources to be monitored
automatically.
Never miss an ITT, RFP, key appointment or crisis
warning again.
8. www.sevenquestions.com
cloud-based searchable archive
rapidly accessible precise
information - anywhere
The results of every search are collected and stored in
user-defined folder systems within the cloud (it is these
folders that are analysed on a daily basis).
A variety of search options are available through the
dashboard interface to interrogate this archive and
receive timely, precise information.
Multiple users can search specific archives saving time
on inefficient and imprecise ‘google-style’ searches.
The cloud-based nature of the archive and accessibility
of the dashboards from mobile devices mean that this
information is available to users on the go.
Key decision makers will always have precise and timely
information at the fingertips about the competition
Tailor search criteria to ensure o
precise results
Easily accessible user-defined number
summaries of most recent documents from within
the archive displayed in chronological order.
Listed documents are displayed according to the
search parameters used.
A bespoke tag cloud is created according to
the contents of the archive.
This tool enables users to rapidly identify key
themes and concepts.
Rapid search is further enhanced by the ability
to selected an individual ‘tag’ which will then
call up all relevant documents.
9. www.sevenquestions.com
tailored analytics & charts
visual displays of information
active|watch offers users the ability to have their
analysed information displayed across a rage of
dashboards. Within each dashboard information can be
displayed using a range of charts and graphs.
The graphical displays of information allow users to
identify themes and gain insight quickly.
Every element of the chart can be selected and the
supporting documents reviewed. This capability allows
users to see behind the numbers, make their own
judgments about the veracity of the information and
understand how trends are building or why certain
indicators & warnings are emerging.
10. www.sevenquestions.com
twitter analysis & regressional search
twitter analysis
Social media, and Twitter in particular, remain an
important source of open source information.
The greatest value of most social media is in time-
sensitive situations (such as crisis management) or
issues concerning reputational risk.
Although most social media, including Twitter, is seeking
to monetize privacy and closing down access, it remains
possible to exploit valuable information from open
source tools.
Twitter remains an important source and active|watch is
able to make considerable use of Twitter feeds, and their
analysis, in its support to the open source intelligence
collection strategies of our clients.
11. www.sevenquestions.com
tailored newsfeeds & source analysis
newsfeeds
Newsfeeds (from RSS, mainstream news outlets,
specialist providers or social media) form a core
capability with active|watch.
The ability to aggregate selected feeds into a single
stream and place that stream on a dashboard increases
efficiency and understanding within teams.
Add to this the ability to search those streams and
analyse the sources and situational awareness becomes
a capable search tool as well.
Aggregated user-defined newstreams enable teams to
identify influential sources and target their resources for
maximum effect in influencing the narrative.
Conversely, the same capability enables clients to
independently test the impact of paid PR and strategic
communications campaigns and verify figures produced
by suppliers.
active|watch also allows users to add subscribed feeds
to their open source feeds – all copyright issues are
taken care off. Paid feeds such as Bloomberg and
Reuters can be added through the design of bespoke
connectors.
12. www.sevenquestions.com
integrated & customizable GIS
geomapping information
There may be occasions when it is useful to plot specific
pieces of information geographically.
active|watch offers the capability to integrate open
source information collection with geo plotting using
bespoke GIS databases.
This capability offers our clients a useful additional
methodology for visualizing information and has
particular application in crisis management and for
verifying and tracking the effect and impact of paid for
strategic communications campaigns.
13. www.sevenquestions.com
insight – getting ahead of the curve
looking ahead
One of the core benefits of active|watch is the delivery of
insight to our clients.
Insight is the ability to exploit open source information to
obtain an understanding of future trends within the
market, the possible/probable options for competitors
and an understanding of clients and customer needs.
Insight is the ability to anticipate threats to business
assets and reputations and to put sufficient mitigation
measures in place just in time to prevent a loss of
revenue or reputation.
We work with or clients to understand their industry and
apply military planning and intelligence collection
techniques to determine what information to look for.
We then collaborate to collect, and analyse that
information to deliver an understand of future
possibilities.
14. www.sevenquestions.com
information sharing
using dashboards & widgets to
improve situational awareness
vertically & laterally between ‘readers’
and ‘analysts’
active|watch is more than a software tool. In order to
maximise its effectiveness and for our clients to gain
maximum value active|watch needs to be integrated with
the clients organisation's structure and decision making
processes.
As part of our service we work with our clients to apply
our military planning and intelligence integration
experience is transferred to our clients.
active|watch offers flexible and incremental adoption
options. Information can be shared, elevated up the
management structure and shared between disciplines
and timezones. This structure can be adjusted quickly to
suit to changing requirements of the client.
15. www.sevenquestions.com
benefits of internet intelligence support
all-informed
interoperability – full spectrum media intelligence
>efficiency + same level of confidence
cloud-based document archive
collaboration
scalable, mobile & deployable
measurement =
management
multi-lingual
search selected sources or archive
what could active|watch offer you?
The range of benefits is as broad the the spectrum of
active|watch’s application.
We offer bespoke, tailored projects to help each of our
client’s achieve their requirements and to maximise the
full benefits from the active|watch system.
next steps …
For a straightforward, no obligation, no nonsense
discussion about the benefits to your organisation of
deploying active|watch please get in touch.
We are confident that there is not a single enterprise,
sector or organisation that will not benefit from
active|watch.
We look forward to working with you.