BIRT Analytics is a customer analytics solution that allows companies to gain valuable insights from big data. It integrates data from multiple sources, analyzes large volumes of data, and provides clear and granular customer information. Tools allow users to explore data, identify patterns, profile customers, and forecast trends. Advanced analytics help optimize marketing, identify cross-sell opportunities, and understand customer behavior. The solution aims to help companies understand customer needs and adapt strategies based on real customer data.
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Find New Revenue with Existing CustomersServiceSource
Industrial systems companies struggle with installed base data quality, reliability and governance. This directly impacts customer retention and limits growth strategies within an existing customer base.
Through this presentation
-- Learn how Johnson Controls extends the customer lifecycle by driving service attachment to assets, increasing replacement business win rates and expanding individual sale profitability.
-- Explore a model for leveraging data to displace the competition at record rates and realize your best-ever Net Promoter Score.
-- Discover a data management philosophy and process with proven results of spinning your customer data into gold.
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
Recession-proofing your business with dataGramener
COVID19 has enabled all the business across the world to think out of the box. Data and technology are our major allies. This presentation talks about how data and technology can be leveraged to fight the covid19 recession and help businesses to come out of the pandemic stronger.
Author 1: Ganes Kesari - Head of Analytics, Gramener
Author 2: Anand S. - CEO, Gramener
Watch the full webinar on the topic: https://info.gramener.com/recession-proofing-your-business-with-data
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Find New Revenue with Existing CustomersServiceSource
Industrial systems companies struggle with installed base data quality, reliability and governance. This directly impacts customer retention and limits growth strategies within an existing customer base.
Through this presentation
-- Learn how Johnson Controls extends the customer lifecycle by driving service attachment to assets, increasing replacement business win rates and expanding individual sale profitability.
-- Explore a model for leveraging data to displace the competition at record rates and realize your best-ever Net Promoter Score.
-- Discover a data management philosophy and process with proven results of spinning your customer data into gold.
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
Recession-proofing your business with dataGramener
COVID19 has enabled all the business across the world to think out of the box. Data and technology are our major allies. This presentation talks about how data and technology can be leveraged to fight the covid19 recession and help businesses to come out of the pandemic stronger.
Author 1: Ganes Kesari - Head of Analytics, Gramener
Author 2: Anand S. - CEO, Gramener
Watch the full webinar on the topic: https://info.gramener.com/recession-proofing-your-business-with-data
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Learn the importance of data management and data governance for your marketing automation campaigns, and get a preview of our Salesforce Connector and APIs.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Proven Strategies to Leverage Your Customer Community to Grow Your BusinessSocious
Find out how businesses are leveraging stronger relationship with customers to identify revenue opportunities within their customer base and create more products that their markets love. During this presentation, you’ll learn:
Why peer-to-peer communities keep more customers engaged than other channels
How to ensure your customer community serves both your customers and your business
Actionable strategies for turning the social data in your community platform into profit
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
This presentation gives an overview about the business rationale for customer data management, about current challenges and the state-of-the-art. It was given at the 9th CC CDQ3 workshop organized by the Institute of Information Management at the University of St. Gallen. The workshop took place on June 21, 2012, in Mainz, Germany.
Gartner Digital Marketing Conference 2016: Theater Session (C. Slovak) Tealium
Customer Data: Building from the Center Out
Chris Slovak, VP of Global Solutions Consulting, Tealium
Marketers know better than anyone that a rich brand experience is one of the most essential elements in driving a business forward. But, in the attempt to effectively engage a customer across all channels, focus has shifted from building rich interactions to managing the technologies that drive them.
In this session, Chris Slovak details how putting customer data at the center of the marketing stack can deliver business value, bring data governance to the forefront - and revert marketers' focus back to creating those compelling customer experiences.
Leverage Sage Business Intelligence for Your OrganizationRKLeSolutions
Learn how Sage Business Intelligence provides the insight you need to make better decisions faster! This informative presentation explores Sage Intelligence and Sage Enterprise Intelligence solutions for Sage 100, Sage 500 and Sage X3.
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Learn the importance of data management and data governance for your marketing automation campaigns, and get a preview of our Salesforce Connector and APIs.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
Proven Strategies to Leverage Your Customer Community to Grow Your BusinessSocious
Find out how businesses are leveraging stronger relationship with customers to identify revenue opportunities within their customer base and create more products that their markets love. During this presentation, you’ll learn:
Why peer-to-peer communities keep more customers engaged than other channels
How to ensure your customer community serves both your customers and your business
Actionable strategies for turning the social data in your community platform into profit
Kickstart a Data Quality Strategy to Build Trust in Your DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
This presentation gives an overview about the business rationale for customer data management, about current challenges and the state-of-the-art. It was given at the 9th CC CDQ3 workshop organized by the Institute of Information Management at the University of St. Gallen. The workshop took place on June 21, 2012, in Mainz, Germany.
Gartner Digital Marketing Conference 2016: Theater Session (C. Slovak) Tealium
Customer Data: Building from the Center Out
Chris Slovak, VP of Global Solutions Consulting, Tealium
Marketers know better than anyone that a rich brand experience is one of the most essential elements in driving a business forward. But, in the attempt to effectively engage a customer across all channels, focus has shifted from building rich interactions to managing the technologies that drive them.
In this session, Chris Slovak details how putting customer data at the center of the marketing stack can deliver business value, bring data governance to the forefront - and revert marketers' focus back to creating those compelling customer experiences.
Leverage Sage Business Intelligence for Your OrganizationRKLeSolutions
Learn how Sage Business Intelligence provides the insight you need to make better decisions faster! This informative presentation explores Sage Intelligence and Sage Enterprise Intelligence solutions for Sage 100, Sage 500 and Sage X3.
To effectively leverage the power of rich visualizations in making data-driven decisions, you must significantly reduce front-end data preparation time.
In order to create visualizations that lead to answers quickly, you need to prepare your data in the right way. Together, Alteryx and Tableau can help. This paper will show you how.
How Can Business Analytics Dashboard Help Data Analysts.pdfGrow
The Business analytics dashboard provides a centralized platform that empowers data analysts to explore, analyze, and visualize data more efficiently and intuitively, ultimately driving better decision-making. You can discover how these intuitive Business Intelligence dashboard tools enhance every aspect of data analysis and streamline a data analyst's job. Revolutionize how data analysts function and make the data analysis journey successful by visiting Grow.com.
Analytics are forming the basis of competition today. This white paper addresses what distinguishes analytics and answers the question are we doing analytics in the data warehouse? The paper further talks about the contending Platforms for the Analytics Workload and introduces the ParAccel Analytic Database as a key component of Information Architecture.
Leveraging Business Intelligence in Retail IndustryKavika Roy
Business intelligence allows you to make the most critical business decisions in a data-driven manner. You can dig deep into the customer data and find out what issues or concerns they have regarding your products.
This way, you can improve your products and services to deliver delightful customer experiences. The best way to leverage business intelligence in retail is via software tools.
Here we discuss how business intelligence can offer retailing insights to steer your business towards growth. How would the retail industry use business intelligence and what is the best way to leverage it for boosting your business?
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
Data discovery, channeling data, data visualization, and problem-solving; our experts are ready to help any businesses who need assistance on big data.
Data analysts and data scientists are becoming commonplace in most businesses nowadays and employing them on a full-time basis creates a severe financial burden to the management; this is where HLB HAMT and their data analysis professionals step in.
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Valters Lauzums
Unlock the power of data analytics with our comprehensive slide deck from the Advanced Digital Strategy MGMT X 466.05 course at UCLAx. This presentation reviews the fundamental concepts and practical applications of data analytics in business and marketing.
Key Topics Covered:
Overview & Concepts: Learn how data analytics uses statistics, predictive modeling, and machine learning to enhance business performance.
Types of Data: Understand the differences between structured and unstructured data, and how to leverage quantitative and qualitative data.
Key Techniques: Explore descriptive, diagnostic, predictive, and prescriptive analytics to transform raw data into actionable insights.
Common Tools: Get acquainted with popular tools like Google Analytics, Google Looker, Adobe Analytics, and HubSpot for effective data tracking and analysis.
Data Analysis Process: Follow a step-by-step guide to collecting, cleaning, modeling, and interpreting data to drive informed decision-making.
Optimizing Campaigns: Learn how to use A/B testing and past campaign performance data to enhance future marketing efforts.
Defining Audiences: Discover how to segment target audiences using demographic data, purchase histories, and online behaviors for more precise marketing strategies.
Advanced Methods: Dive into advanced data analysis techniques like cohort analysis, cluster analysis, sentiment analysis, and regression analysis.
Customer Journey Analytics: Visualize the customer journey and identify key engagement moments to optimize the customer experience.
Data Visualization & Storytelling: Master the art of communicating data insights effectively through visualizations and contextual storytelling.
Visual Analytics What Is It & Enchanting BenefitsSmartinfologiks
Visual analytics entails leveraging visuals to grasp extensive datasets, resembling the creation of maps, charts, or graphs to identify patterns, trends, or anomalies. This approach aids individuals in making decisions by relying on easily comprehensible and visually accessible information. In short, it transforms numerical data into visual narratives, simplifying the process of comprehension and utilization for individuals. This multidisciplinary approach merges computer science, statistics, and art to convert intricate datasets into interactive and comprehensible visuals, encompassing charts, maps, and graphs.
Visual analytics goes beyond mere data visualization; instead, it employs and harnesses the power of data visualization techniques.
It’s a perfect blend of machine learning and other tools to automatically sort through these particular datasets and discover patterns or trends. However, there’s some reliance on human judgement, since people can leverage the visuals to explore the data from themselves, asking their own queries and looking for their own answers.
Through it’s, identifying patterns becomes more accessible compared to traditional analysis, enabling the recognition of insights that might otherwise go unnoticed. This powerful tool extends its utility to different applications, from sales tracking to weather prediction, improving its role in informed decision-making.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Similar to Customer analytics. Turn big data into big value (20)
Quiterian's positioning: the right complement after predefining reporting to quicly react to any unexpected question. Advanced Analytics for business users to make faster and better decisions.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. 2
Customer Analytics
BIRT Analytics lets you capture the value of Big Data that
speeds right by most enterprises. It analyzes massive
volumes of data coming in from multiple sources and
formats, and turns them into clear, highly granular
information, so you can understand your customers
needs and desires, segment accordingly and sell the right
products and services to the right customers.
Your data should effectively inform your customer
relationship strategy. BIRT Analytics’ data discovery and
mining tools let you quickly drill down into data to identify
patterns and hidden relationships, profile top buyers and
accurately forecast trends and profits.
Easy-to-use advanced and predictive analytics tools
optimize your marketing efforts, allowing you to identify
more cross-sell and up-sell opportunities, take action
to prevent potential churn, give immediate attention
to incoming leads, and effectively nurture your entire
customer pipeline.
Intuitive tools make working with data fast and easy
for your entire team. Every table, diagram, tree and
map is dynamic and recalculates instantly as you drag
and drop data, and you can export your findings to
graphic presentations in seconds. Everyone in your
organization gets a clear window into your data’s value
without no IT team dependence, so efficiency improves
across your organization.
BIRT Analytics lets you clearly visualize and understand
customer information as soon as it comes in, so you
quickly pinpoint customer needs, adapt product
roadmaps and inform business strategy that’s based on
real customer knowledge.
It integrates all types of information, from survey results
to Tweets, to numeric purchasing data and campaign
response rates, and even external data like demographics,
market data or weather factors, so you get the most
comprehensive understanding of everything that might
affect sales. The result is an ability to really know your
customers, to respond them and to offer them the right
products and services.
We’d like to introduce you to the tools and techniques that
make BIRT Analytics the best customer analytics solution
for companies with big data challenges that need to get
the most value out of their data in the shortest period of
time with the least amount of effort.
“Before BIRT Analytics, extracting and analyzing
information took considerable amount of our
technical experts’ time, and as a consequence we were
not providing the top service.
BIRT Analytics has given our marketers autonomy and
flexibility. They now get detailed customer knowledge,
see behavior patterns and make movement
predictions quickly and easily.”
Francisco Magarite, CIO at Inversis Bank
All Your Data Integrated in Just One Place
3. 3
Customer Analytics
Contents
1. Data Sources 4
2. Data Exploration & Visualization 5
3. Data Enrichment & Data Cleansing 7
4. Analytics & Data Mining 8
5. Gallery 11
6. Segmentation & Data Selection 12
7. Campaign Workflow 13
8. iWorkflow: Process Automation 15
9. Import / Export 16
10. Instant Advanced Analytics Cases
A. Churn Analysis 17
B. Cross-Selling 18
C. Forecasting 19
D. Efficient Campaigns 20
E. Recency, Frequency, Monetary Value (RFM) 21
F. Social Media 22
G. Web Analytics 24
4. 4
Customer Analytics
ERP Adserver
Demographics
eMailing
Social Media
Other Data Sources
1. Data Sources
BIRT Analytics integrates data from virtually any source into a single platform
to give you a comprehensive, easy-to-analyze view of all your customers.
CRM
Website
5. 5
Customer Analytics
2. Data Exploration & Visualization
BIRT Analytics gives you a full range of exploration and visualization
tools so you can see and interact with your data in a variety of ways.
All of your findings can be easily exported to Excel and other applications.
Data Tree
Provides a graphic view of the categories
being explored. You can view all data, search
for specific data and organize information for
easy analysis.
Data Quality
View details on the selected table, object
or segment, including individual records,
a summary, discrete values, graphics, statistics
or numeric frequencies.
Representations
See clear graphical representations of the
fields being explored.
6. 6
Customer Analytics
2. Data Exploration & Visualization
Frequency Representation
You can summarize a field by categories and also
see the percentage of the total value that each
category accounts for within the field.
Values Charts
View all values of the field being explored and
all the individual categories and records that
each one contains. You can search and select
values by just clicking on them.
Statistics
Used when exploring numeric fields. An
exhaustive range of statistical values is available
to you, including maximum, median, minimum,
mode, sum, standard deviation and more.
7. 7
Customer Analytics
Aggregates
Group information from different tables and
cross them to understand relationships. You
might, for example, group information about
orders placed in a table that contains customer
data to find out how many orders a particular
customer has placed.
Decodes
Decode information in your new fields, transform
codes into descriptions, group different records
into a single category value and normalize names.
Numeric Ranges
Create new fields that convert continuously
distributed variables into categorical variables.
Numeric ranges divide a numerical variable into
intervals.
Expressions
Generate new fields that are calculated
according to functions and operations found
in other fields of the database.
Quantile Ranges
Generate new fields that convert continuously
distributed variables into categorical variables.
Quantile ranges create intervals that contain the
same number of records in each one.
Parametric
Create a new column consisting of query-based
values. Normalize and remap existing columns.
Queries can be formulated with values or fields
belonging to any table in the database, as long
as the tables are linked correctly.
3. Data Enrichment & Data Cleansing
BIRT Analytics does not limit you to cubes or predefined analyses. You
can organize your data and cross information in unlimited ways, without
depending on your IT team for help. These tools allow you to view your
data in full granularity and with total flexibility.
8. 8
Customer Analytics
Venn Diagram– Discovering Hidden
Relationships
Combine multiple segments to discover connections,
relationships or differences. Explore customers that
have bought different categories of products and
easily identify cross-selling opportunities.
Data Profiling– Identify Customer
Attributes
Select records from your data tree and generate
customer profiles that indicate common features
and behaviors. Use customer profiles to inform
effective sales and marketing strategy.
Forecasting – Time Series Analysis
Forecasting enables you to adapt to changes,
trends and seasonal patterns. You can accurately
predict monthly sales volume or anticipate to the
number of orders expected in any given month.
4. Analytics & Data Mining
BIRT Analytics puts advanced and predictive analytics techniques at your
fingertips, making it easy for you to gain insight into customer behavior and
be able to make business decisions based on real data in much less time.
9. 9
Customer AnalyticsCustomer Analytics
Association Rules – Cause/ Effect – Basket
Analysis
This technique detects relationship or affinity
patterns across data and generates a set of rules.
It automatically selects the rules that are most
useful to key business insights: What products
do customers purchase simultaneously and
when? Which customers are not buying and
why? What new cross-selling opportunities exist?
Decision Tree – Classify and Predict Behavior
BIRT Analytics has a dynamic classification
algorithm that expands its knowledge and capacity
as new classification rules are introduced. It learns
as rules are applied across the entire database so
that future classifications are fast and accurate.
Classification helps you do things like select
the right products to recommend to particular
customers and predict potential churn.
Mapping – Identify Geographical Zones
Mapping uses color-coding to indicate customer
behavior as it changes across geographic
regions. A map divided into polygons that
represent geographic regions shows you where
your churners are concentrated or where specific
products sell the most.
Clustering – Group More Effectively
Clustering helps you identify segments and
homogeneous groups so that precise offerings
and messaging can be defined. It also helps
you group web visitors or prospects by specific
attributes so you can more easily and accurately
track customers and understand behaviors.
4. Analytics & Data Mining
10. 10
Customer Analytics
Pivot Tables – Correlate Values and
Build Reports on the Fly
Pivot tables let you cross fields freely while the
system instantly recalculates. Tables and charts
change as values are dragged and dropped, but
information can be captured in reports at any
time. Pivot tables can give you a clear picture of
things like the net profit for each campaign or
the most-sold product by customer profile.
Pareto’s – 80-20 Rule
BIRT Analytics makes it easy to test Pareto’s
80-20 principle on your data. It lets you see the
financial dimension of customer performance
and measure the efficiency of your business.
Evolution – Draw Dimensional Correlations
Dimensional correlations present the evolution
of values over time by crossing different
variables and scenarios. You can see, for example,
the evolution of a particular product or range of
products during a specific time period.
4. Analytics & Data Mining
11. 11
Customer Analytics
Gallery views are designed from scratch in
minutes. Each one can be set up to analyze
a group of indicators that reveal key business
insights. Use these measurement graphics to
make sense of complex information at a glance.
You can present your progress on all key
variables defined in your customer strategy in
a single view.
Cylinder
Cylinder volume changes according to the
value selected.
Funnel
Displays multiple data segments in colored
bands to allow for quick comparison of
segments.
Speedometer
Shows you where your data falls within
parameters you define, which might be specific
objectives you have established.
Equalizer
Color-based bar indicator that shows you how
data fall within established parameters so you
can quickly spot any deviations.
Color LED
Spheres that change color depending on
whether they are greater than, equal to or less
than an established baseline.
5. Gallery
The BIRT Analytics gallery displays indicators that help you to
view, present, publish and distribute information. They are easy to
create and can include results that come from analysis, data model,
organizational needs and other sources.
12. 12
Customer Analytics
Visual Segmentation
Drag and drop interaction with your data lets
you classify your database, assign discrete
values, generate new customer groups, combine
segments, filter them by category, and other
actions that give you complete control and
visibility of your data.
Complex Segmentation Simplified
BIRT Analytics’intuitive interface enables fast
advanced segmentation across your entire
database. Complex and parametric queries
are easy to build from its dynamic graphical
interface.
6. Segmentation & Data Selection
BIRT Analytics allows you to graphically view and interact with records or
groups of records. It’s the most intuitive way to gain quick insight from your
data. You can extract records and apply complex conditions in seconds.
Graphic segmentation even allows you to merge and correlate data from
tables that are not directly linked.
13. 13
Customer Analytics
Comprehensive Campaign Management
BIRT Analytics makes campaign creation and
management easy. You can schedule actions,
grant specific user permissions per stage, and
better define your target and overall campaign
strategy. You get total control over your records
and can perform every necessary campaign
action, from random sampling to Robinson
exclusions to applying marketing codes.
Stage-Based Workflow Management
Campaign Workflow lets you define and order
actions for every campaign stage, determine
which team members will have access to the
campaign, and assign actions to different users
throughout each stage.
7. Campaign Workflow
Campaign Workflow is BIRT Analytics’integrated end-to-end marketing
campaign management module. It gives you comprehensive visibility
of all customers, suppliers and staff, so you can analyze responses
better and make the right decisions.
14. 14
Customer Analytics
Campaign Progress Visibility
View your campaign as a timeline to quickly
see progress and identify incomplete actions.
Campaign Results Evaluation
Immediately identify micro-segments that
represent high response rates in order to modify
your campaign on the fly for better overall
results. Easily analyze campaign results in detail
to discover hidden patterns and trends and
know exactly how to improve future campaigns.
7. Campaign Workflow
15. 15
Customer Analytics
8. iWorkflow: Process Automation
Automate your workflow to stay on top of every process and
collaborate more efficiently. Set up notifications to automatically
assign incoming leads to regions, inform agents as soon as new leads
enter, alert the sales director when no new leads enter the CRM in a
24 hour period or when purchases drop below a defined level.
iWorkflow gets the whole sales pipeline running smoothly.
Workflow Definition
Set up actions and user roles. When an action is
triggered by an event, date or value, processes
are executed. Team members participate in the
process per their assigned roles, as one action
flows to the next.
Task Scheduling
The task planner allows you to define actions
that you want triggered by specific events,
and to delegate these actions across your
organization according to established security
criteria.
16. 16
Customer Analytics
9. Import / Export
This functionality allows you to build a strong data model by loading
and linking unlimited additional information from external sources in
order to gain deeper customer insight.
Import
Enrich your analytical database by importing any
kind of flat file containing external information
such as demographics or market data.
Export
Create new tables from data that can be either
used as temporary bases of analysis or exported
to a CSV text file.
17. 17
Customer Analytics
1. Using a Venn diagram you can
identify customers that were previously active
but are currently less responsive or completely
unresponsive.
2. Extrapolate the characteristics of
these inactive customers to all current customers
using a Decision Tree, which creates a new table
in your database.
3. The resulting database classification
enables you to identify those likely to churn so
you can modify marketing and sales campaigns
accordingly.
In this section we show you exactly how BIRT Analytics techniques and
functionalities help you with specific sales and marketing challenges.
When you have the capacity to understand customer behavior you can
forecast more accurately, strategize more effectively and improve your
every sales and marketing effort.
10. Instant Advanced Analytics Cases
A) Churn Analysis
18. 18
Customer Analytics
1. Use drag and drop functionality
to cross data and identify customers who are
buying certain categories of products or are not
buying at all.
2. Add new segments to uncover
additional cross-sell opportunities.
3. In a single click you will be able to
identify customers that represent potential sales
opportunities and customize campaigns that
offer them exactly the product or service they
are most likely to buy.
B) Cross-Selling
10. Instant Advanced Analytics Cases
19. 19
Customer Analytics
1. Easily calculate the projection of a
time series by dragging and dropping the table
that contains historical information.
2. Perform a pre-calculation to
determine if the available data is likely to
produce a reliable projection.
3. The system will calculate based
on the number of projections selected while
adjusting for seasonal fluctuations.
C) Forecasting
10. Instant Advanced Analytics Cases
20. 20
Customer Analytics
1. The Decision Tree uses a C 4.5
algorithm to quickly get information about a
specific group (attributes that people who buy
software have in common, for example) and
apply it to another group (customers who have
only purchased hardware).
2. It then takes the results of this
calculation and performs a more precise
customer segmentation for the group.
D) Efficient Campaigns
10. Instant Advanced Analytics Cases
21. 21
Customer Analytics
1. Use an RFM analysis to accurately
forecast sales over a period of months so you
can identify possible decreases in sales and
strategize to prevent them from occurring.
2. Start by identifying the percentage of
your customers that are active and purchasing
consistently.
3. Apply a decision tree algorithm to
find out the best target out of non active ones.
Inferring the RFM Classification to you potential
target.
E) Recency, Frecuency, MonetaryValue (RFM)
10. Instant Advanced Analytics Cases
22. 22
Customer Analytics
1. You can use BIRT Analytics to
compare your Twitter success to that of your
customers by extracting data from Twitter and
tracking accounts with defined keywords.
2. You’ll be able to see how many
people are following your accounts and those of
your competitors, broken down by day.
3. The information is available in a chart
that displays at-a-glance updates.
F) Social Media:Twitter Followers
10. Instant Advanced Analytics Cases
23. 23
Customer Analytics
1. Find out from which operating
systems and sources people are engaging with
your social media accounts.
2. Use sentiment analysis and get a
matrix of influencers that impact your accounts.
3. Find out which accounts are most
active, by hour or by language.
Social Media: Other Analyses
10. Instant Advanced Analytics Cases
24. 24
Customer Analytics
1. Gauge the effectiveness of your
online marketing campaigns by starting with a
Venn diagram.
2. Cross the number of total website
visits with the segment to which you sent the
campaign. Cross in the number of website
visits associated with the campaign. If a larger
percentage of website visits is unrelated to your
campaign, you can conclude that you need
improve segmentation for the next campaign.
3. Campaign results can also be viewed
by geographical region.
G) Web Analytics
10. Instant Advanced Analytics Cases
25. 25
Customer Analytics
BIRT Analytics turns your Big Data challenges into big value opportunities. It integra-
tes all your data sources into one intuitive tool. It even allows you to cross in external
data that takes into account seasonal variables, market changes, demographic fac-
tors or anything that might impact sales.
Your entire company benefits from a comprehensive analytics solution that gives
non-technical users a range of easy-to-use graphical tools so they can quickly gain
insight from complex data. They will analyze, segment, profile and forecast accura-
tely with no dependence on your IT team.
BIRT Analytics is the one data solution that truly gets the most out of your data.
It gives your company total visibility of information coming in by the second and
makes it easy to roll out sales, marketing, customer acquisition, and customer loyalty
strategies that work.
Want to know how BIRT Analytics can address your specific customer analytics
challenges and help you get the most value out of your data?
E-mail us at BIRTAnalytics@actuate.com and we’ll schedule an appointment at
a time that’s convenient for you.
Test drive BIRT Analytics completely free for 30 days.
Sign up today at quiterian.com/trial
Actuate Corporation
951 Mariners Island Boulevard
San Mateo, CA 94404
Tel: (+ 1) 888-422-8828
BIRTAnalytics@actuate.com
www.actuate.com/birtanalytics