[Webinar] Top Power BI Updates You *Acutally* Need to Know
•Download as PPTX, PDF•
0 likes•63 views
1)Summary of the over 25 feature improvements made by Power BI in 2019 2) Top ways to leverage the changes in functionality 3) Ways to get buy-in and further utilize your Microsoft Power BI investment
Report
Share
Report
Share
Recommended
Data Governance with Profisee, Microsoft & CCG
1. The workshop agenda covers data governance fundamentals, assessing an organization's data governance maturity using the CCGDG framework, and prioritizing a roadmap for improvement.
2. The Profisee presentation promotes their master data management solution for enabling digital transformation by providing a single view of critical data across systems.
3. Profisee's solution focuses on five key areas: stewardship, matching configuration, adjusting the configuration, operational matching, and workflow management to ensure data quality.
Virtual Governance in a Time of Crisis Workshop
The CCGDG framework is focused on the following 5 key competencies. These 5 competencies were identified as areas within DG that have the biggest ROI for you, our customer. The pandemic has uncovered many challenges related to governance, therefore the backbone of this model is the emphasis on risk mitigation.
1. Program Management
2. Data Quality
3. Data Architecture
4. Metadata Management
5. Privacy
The Shifting Landscape of Data Integration
This document discusses the shifting landscape of data integration. It begins with an introduction by William McKnight, who is described as the "#1 Global Influencer in Data Warehousing". The document then discusses how challenges in data integration are shifting from dealing with volume, velocity and variety to dealing with dynamic, distributed and diverse data in the cloud. It also discusses IDC's view that this shift is occurring from the traditional 3Vs to the 3Ds. The rest of the document discusses Matillion, a vendor that provides a modern solution for cloud data integration challenges.
ADV Slides: Comparing the Enterprise Analytic Solutions
Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple use) artifacts of the enterprise data environment are so critical to enterprise success.
Build them once (keep them updated), and use again many, many times for many and diverse ends. The data warehouse remains focused strongly on this goal. And that may be why, nearly 40 years after the first database was labeled a “data warehouse,” analytic database products still target the data warehouse.
Case Manager for Content Management - A Customer's Perspective
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
How to Monetize Your Data Assets and Gain a Competitive Advantage
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
Slides: Enterprise Architecture vs. Data Architecture
Donna Burbank, Managing Director of Global Data Strategy, Ltd., will host a webinar series on data architecture strategies. The June 25th webinar will focus on the differences and alignment between enterprise architecture and data architecture. Enterprise architecture provides a visual blueprint of an organization's key assets and how they interrelate, including data, processes, applications and more. The webinar will discuss how data architecture is a critical component of enterprise architecture and how it can enhance business value.
Eclipse day Sydney 2014 BIG data presentation
Big data refers to large, complex datasets that are difficult to process using traditional database management tools. This document discusses big data challenges, growth drivers, opportunities, and new approaches to processing and analytics using tools like Hadoop, MongoDB, and BIRT. It provides an overview of how BIRT supports connecting to and visualizing data from different sources, including Hive, Cassandra, and MongoDB, and how the BIRT community contributes to its open source development.
Recommended
Data Governance with Profisee, Microsoft & CCG
1. The workshop agenda covers data governance fundamentals, assessing an organization's data governance maturity using the CCGDG framework, and prioritizing a roadmap for improvement.
2. The Profisee presentation promotes their master data management solution for enabling digital transformation by providing a single view of critical data across systems.
3. Profisee's solution focuses on five key areas: stewardship, matching configuration, adjusting the configuration, operational matching, and workflow management to ensure data quality.
Virtual Governance in a Time of Crisis Workshop
The CCGDG framework is focused on the following 5 key competencies. These 5 competencies were identified as areas within DG that have the biggest ROI for you, our customer. The pandemic has uncovered many challenges related to governance, therefore the backbone of this model is the emphasis on risk mitigation.
1. Program Management
2. Data Quality
3. Data Architecture
4. Metadata Management
5. Privacy
The Shifting Landscape of Data Integration
This document discusses the shifting landscape of data integration. It begins with an introduction by William McKnight, who is described as the "#1 Global Influencer in Data Warehousing". The document then discusses how challenges in data integration are shifting from dealing with volume, velocity and variety to dealing with dynamic, distributed and diverse data in the cloud. It also discusses IDC's view that this shift is occurring from the traditional 3Vs to the 3Ds. The rest of the document discusses Matillion, a vendor that provides a modern solution for cloud data integration challenges.
ADV Slides: Comparing the Enterprise Analytic Solutions
Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e., multiple use) artifacts of the enterprise data environment are so critical to enterprise success.
Build them once (keep them updated), and use again many, many times for many and diverse ends. The data warehouse remains focused strongly on this goal. And that may be why, nearly 40 years after the first database was labeled a “data warehouse,” analytic database products still target the data warehouse.
Case Manager for Content Management - A Customer's Perspective
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
How to Monetize Your Data Assets and Gain a Competitive Advantage
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
Slides: Enterprise Architecture vs. Data Architecture
Donna Burbank, Managing Director of Global Data Strategy, Ltd., will host a webinar series on data architecture strategies. The June 25th webinar will focus on the differences and alignment between enterprise architecture and data architecture. Enterprise architecture provides a visual blueprint of an organization's key assets and how they interrelate, including data, processes, applications and more. The webinar will discuss how data architecture is a critical component of enterprise architecture and how it can enhance business value.
Eclipse day Sydney 2014 BIG data presentation
Big data refers to large, complex datasets that are difficult to process using traditional database management tools. This document discusses big data challenges, growth drivers, opportunities, and new approaches to processing and analytics using tools like Hadoop, MongoDB, and BIRT. It provides an overview of how BIRT supports connecting to and visualizing data from different sources, including Hive, Cassandra, and MongoDB, and how the BIRT community contributes to its open source development.
Financial Services Technology Leader Turns Mainframe Logs into Real-Time Insi...
A global financial services leader in payment, banking, and investment solutions, stays ahead of the competition by relying on powerful mainframe processing and real-time analytics. The company delivers an exceptional – and secure – digital experience to their global customer base by using Splunk and Precisely Ironstream.
View this on-demand webinar to hear how this customer turns mainframe security and operational log data into real-time insights with Ironstream and Splunk to:
- Proactively detect fraud and monitor security
- Meet SLAs with near-instant application response times
- Save time, effort and resources while lowering MTTI & MTTR
How to identify the correct Master Data subject areas & tooling for your MDM...
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
DAMA Feb2015 Mastering Master Data
Mastering Master Data
Presented to DAMA GA Feb 2015
The content of these slides belong to Sierra Creek Consulting.
Permission is required for use.
Unlocking Success in the 3 Stages of Master Data Management
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Enterprise Data Management
This document discusses enterprise data management. It defines enterprise data management as removing organizational data issues by defining accurate, consistent, and transparent data that can be created, integrated, disseminated, and managed across enterprise applications in a timely manner. It also discusses the need for a structured data delivery strategy from producers to consumers. The document then outlines some key enterprise data categories and provides a conceptual and logical view of an enterprise master data lineage architecture with data flowing between transactional systems, a data management layer, and analytics.
Enterprise Data Architect Job Description
The document discusses the responsibilities of an Enterprise Data Architect, including defining vision/strategy for data management, standards, governance, modeling, and more. It lists key tasks like implementing data strategies/roadmaps, models, and governance frameworks. The architect must understand how data is used and mitigate risks. Relevant domains include data strategy/governance, modeling, store definition, analysis, and content management. The architect must also track emerging solutions/topics and possess skills like strategy analysis, communication, and leadership.
Data Quality Management
Data Verification and Validation - Melissa Data helps you in analyzing, cleansing & match data quality, data standardization and data quality management services for your organization.
DAMA Presentation
The document discusses how big data analytics can drive business transformations. It describes key business trends like socialization, collaboration and gamification that are shaping businesses. Examples are provided of how companies like Goldcorp used crowdsourcing of data to transform their business. The presentation emphasizes that companies that can efficiently harvest and analyze large amounts of data will have a competitive advantage in changing market dynamics.
Predictions for the Future of Graph Database
EY has a large and growing graph practice with over 200 consultants globally. They see widespread use of graph technologies across many sectors and have delivered graph solutions to help clients drive insight, efficiency, and value. The document discusses trends driving graph adoption, graph leaders in the market, and EY's point of view on building data fabrics and knowledge graphs to connect and mobilize enterprise data.
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Using Data Platforms That Are Fit-For-Purpose
We must grow the data capabilities of our organization to fully deal with the many and varied forms of data. This cannot be accomplished without an intense focus on the many and growing technical bases that can be used to store, view, and manage data. There are many, now more than ever, that have merit in organizations today.
This session sorts out the valuable data stores, how they work, what workloads they are good for, and how to build the data foundation for a modern competitive enterprise.
Microsoft Business Intelligence Vision and Strategy
Microsoft Business Intelligence slide deck, learn the Microsoft vision and strategy for business intelligence. These slides include the offering and value proposition for Microsoft BI.
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...
Many data scientists are well grounded in creating accomplishment in the enterprise, but many come from outside – from academia, from PhD programs and research. They have the necessary technical skills, but it doesn’t count until their product gets to production and in use. The speaker recently helped a struggling data scientist understand his organization and how to create success in it. That turned into this presentation, because many new data scientists struggle with the complexities of an enterprise.
Big data – solution architect
The role of a Big Data Solution Architect is to understand an organization's growing data needs and propose a target architecture to support big data. They develop an architecture framework that includes requirements gathering, creating an architecture vision and data architecture, roadmapping the transition, and implementing and governing the solution. The architect must continuously spin through the framework to keep the architecture aligned as business processes and system requirements change over time.
Using metrics to measure data quality
Measuring data quality is on the data management agenda at many financial firms as they seek to reduce operational costs, meet regulatory requirements and identify new product potential. The webinar will consider how metrics can be implemented to provide meaningful measures of data quality that can be used across the firm, solutions for data quality measurement, and the outcomes of successful metrics projects implemented by data management practitioners.
Join the webinar to find out about:
-Challenges of data quality
-Requirements for data quality metrics
-Best practice implementation
-Technology solutions
-User experiences
Data-Ed Online Webinar: Data-centric Strategy & Roadmap
This document outlines a presentation on developing a data-centric strategy and roadmap. It discusses the importance of aligning data management goals to business needs through frameworks like Porter's competitive strategies and operating models. Metrics and success criteria must be defined by collaborating with business partners to measure improvements in specific opportunities. An example shows how a chemical company measured reductions in testing time and increases in researcher productivity after implementing a solution to integrate data across disparate systems.
Linking Data Governance to Business Goals
This document discusses linking data governance to business goals. It begins with an example of a typical governance program that loses business support over time. It then advocates taking a business-first approach to accelerate programs and increase ROI. Successful programs link governance to business goals, outcomes, stakeholders and capabilities. The document provides examples of how different business goals map to governance objectives and capabilities. It emphasizes quantifying value at strategic, operational and tactical levels. Finally, it discusses Jean-Paulotte Group's Chief Data Officer implementing a working approach driven by business value through an iterative process between a Data Management Committee and Working Groups.
Data Management Meets Human Management - Why Words Matter
This document discusses data governance at Fifth Third Bank and how the Vice President of Enterprise Data, Greg Swygart, is working to improve it. It notes that previously the bank did not have a strong data culture or data literacy. Greg is implementing a centralized data management program to develop these areas using best practices. He is focusing on adoption of the Alation data catalog to help formalize data stewardship and accountability. The document emphasizes that human management and changing behaviors and mindsets is key to successful data governance, and that words used are important to avoid making it feel like a burden.
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
This document provides biographical information about Christopher Bradley, an expert in information management. It outlines his 36 years of experience in the field working with major organizations. He is the president of DAMA UK and author of sections of the DAMA DMBoK 2. It also lists his recent presentations and publications, which cover topics such as data governance, master data management, and information strategy. The document promotes training courses he provides on information management fundamentals and data modeling.
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE BENEFIT GAINED FROM USING E-COMMERCE WEB SITES
Session 3 BI Requirements & Roadmap
The document discusses setting the stage for business intelligence (BI) success through defining requirements and roadmaps. It provides an agenda for a seminar on BI opportunities, requirements, and pitfalls in gathering requirements. The overview defines BI, business analytics, and business performance management and how they are mutually reinforcing. It discusses how BI can impact various business functions like operations, finance, sales and marketing. It stresses that BI requirements should focus on key business questions, decisions and processes rather than technical specifications. Active business engagement is key to BI success.
More Related Content
What's hot
Financial Services Technology Leader Turns Mainframe Logs into Real-Time Insi...
A global financial services leader in payment, banking, and investment solutions, stays ahead of the competition by relying on powerful mainframe processing and real-time analytics. The company delivers an exceptional – and secure – digital experience to their global customer base by using Splunk and Precisely Ironstream.
View this on-demand webinar to hear how this customer turns mainframe security and operational log data into real-time insights with Ironstream and Splunk to:
- Proactively detect fraud and monitor security
- Meet SLAs with near-instant application response times
- Save time, effort and resources while lowering MTTI & MTTR
How to identify the correct Master Data subject areas & tooling for your MDM...
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
DAMA Feb2015 Mastering Master Data
Mastering Master Data
Presented to DAMA GA Feb 2015
The content of these slides belong to Sierra Creek Consulting.
Permission is required for use.
Unlocking Success in the 3 Stages of Master Data Management
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Enterprise Data Management
This document discusses enterprise data management. It defines enterprise data management as removing organizational data issues by defining accurate, consistent, and transparent data that can be created, integrated, disseminated, and managed across enterprise applications in a timely manner. It also discusses the need for a structured data delivery strategy from producers to consumers. The document then outlines some key enterprise data categories and provides a conceptual and logical view of an enterprise master data lineage architecture with data flowing between transactional systems, a data management layer, and analytics.
Enterprise Data Architect Job Description
The document discusses the responsibilities of an Enterprise Data Architect, including defining vision/strategy for data management, standards, governance, modeling, and more. It lists key tasks like implementing data strategies/roadmaps, models, and governance frameworks. The architect must understand how data is used and mitigate risks. Relevant domains include data strategy/governance, modeling, store definition, analysis, and content management. The architect must also track emerging solutions/topics and possess skills like strategy analysis, communication, and leadership.
Data Quality Management
Data Verification and Validation - Melissa Data helps you in analyzing, cleansing & match data quality, data standardization and data quality management services for your organization.
DAMA Presentation
The document discusses how big data analytics can drive business transformations. It describes key business trends like socialization, collaboration and gamification that are shaping businesses. Examples are provided of how companies like Goldcorp used crowdsourcing of data to transform their business. The presentation emphasizes that companies that can efficiently harvest and analyze large amounts of data will have a competitive advantage in changing market dynamics.
Predictions for the Future of Graph Database
EY has a large and growing graph practice with over 200 consultants globally. They see widespread use of graph technologies across many sectors and have delivered graph solutions to help clients drive insight, efficiency, and value. The document discusses trends driving graph adoption, graph leaders in the market, and EY's point of view on building data fabrics and knowledge graphs to connect and mobilize enterprise data.
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
Using Data Platforms That Are Fit-For-Purpose
We must grow the data capabilities of our organization to fully deal with the many and varied forms of data. This cannot be accomplished without an intense focus on the many and growing technical bases that can be used to store, view, and manage data. There are many, now more than ever, that have merit in organizations today.
This session sorts out the valuable data stores, how they work, what workloads they are good for, and how to build the data foundation for a modern competitive enterprise.
Microsoft Business Intelligence Vision and Strategy
Microsoft Business Intelligence slide deck, learn the Microsoft vision and strategy for business intelligence. These slides include the offering and value proposition for Microsoft BI.
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...
Many data scientists are well grounded in creating accomplishment in the enterprise, but many come from outside – from academia, from PhD programs and research. They have the necessary technical skills, but it doesn’t count until their product gets to production and in use. The speaker recently helped a struggling data scientist understand his organization and how to create success in it. That turned into this presentation, because many new data scientists struggle with the complexities of an enterprise.
Big data – solution architect
The role of a Big Data Solution Architect is to understand an organization's growing data needs and propose a target architecture to support big data. They develop an architecture framework that includes requirements gathering, creating an architecture vision and data architecture, roadmapping the transition, and implementing and governing the solution. The architect must continuously spin through the framework to keep the architecture aligned as business processes and system requirements change over time.
Using metrics to measure data quality
Measuring data quality is on the data management agenda at many financial firms as they seek to reduce operational costs, meet regulatory requirements and identify new product potential. The webinar will consider how metrics can be implemented to provide meaningful measures of data quality that can be used across the firm, solutions for data quality measurement, and the outcomes of successful metrics projects implemented by data management practitioners.
Join the webinar to find out about:
-Challenges of data quality
-Requirements for data quality metrics
-Best practice implementation
-Technology solutions
-User experiences
Data-Ed Online Webinar: Data-centric Strategy & Roadmap
This document outlines a presentation on developing a data-centric strategy and roadmap. It discusses the importance of aligning data management goals to business needs through frameworks like Porter's competitive strategies and operating models. Metrics and success criteria must be defined by collaborating with business partners to measure improvements in specific opportunities. An example shows how a chemical company measured reductions in testing time and increases in researcher productivity after implementing a solution to integrate data across disparate systems.
Linking Data Governance to Business Goals
This document discusses linking data governance to business goals. It begins with an example of a typical governance program that loses business support over time. It then advocates taking a business-first approach to accelerate programs and increase ROI. Successful programs link governance to business goals, outcomes, stakeholders and capabilities. The document provides examples of how different business goals map to governance objectives and capabilities. It emphasizes quantifying value at strategic, operational and tactical levels. Finally, it discusses Jean-Paulotte Group's Chief Data Officer implementing a working approach driven by business value through an iterative process between a Data Management Committee and Working Groups.
Data Management Meets Human Management - Why Words Matter
This document discusses data governance at Fifth Third Bank and how the Vice President of Enterprise Data, Greg Swygart, is working to improve it. It notes that previously the bank did not have a strong data culture or data literacy. Greg is implementing a centralized data management program to develop these areas using best practices. He is focusing on adoption of the Alation data catalog to help formalize data stewardship and accountability. The document emphasizes that human management and changing behaviors and mindsets is key to successful data governance, and that words used are important to avoid making it feel like a burden.
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
This document provides biographical information about Christopher Bradley, an expert in information management. It outlines his 36 years of experience in the field working with major organizations. He is the president of DAMA UK and author of sections of the DAMA DMBoK 2. It also lists his recent presentations and publications, which cover topics such as data governance, master data management, and information strategy. The document promotes training courses he provides on information management fundamentals and data modeling.
What's hot (20)
Financial Services Technology Leader Turns Mainframe Logs into Real-Time Insi...
Financial Services Technology Leader Turns Mainframe Logs into Real-Time Insi...
How to identify the correct Master Data subject areas & tooling for your MDM...
How to identify the correct Master Data subject areas & tooling for your MDM...
Unlocking Success in the 3 Stages of Master Data Management
Unlocking Success in the 3 Stages of Master Data Management
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
Microsoft Business Intelligence Vision and Strategy
Microsoft Business Intelligence Vision and Strategy
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...
Data-Ed Online Webinar: Data-centric Strategy & Roadmap
Data-Ed Online Webinar: Data-centric Strategy & Roadmap
Data Management Meets Human Management - Why Words Matter
Data Management Meets Human Management - Why Words Matter
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...
Similar to [Webinar] Top Power BI Updates You *Acutally* Need to Know
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE BENEFIT GAINED FROM USING E-COMMERCE WEB SITES
Session 3 BI Requirements & Roadmap
The document discusses setting the stage for business intelligence (BI) success through defining requirements and roadmaps. It provides an agenda for a seminar on BI opportunities, requirements, and pitfalls in gathering requirements. The overview defines BI, business analytics, and business performance management and how they are mutually reinforcing. It discusses how BI can impact various business functions like operations, finance, sales and marketing. It stresses that BI requirements should focus on key business questions, decisions and processes rather than technical specifications. Active business engagement is key to BI success.
Get One Single View
The document summarizes key points from a seminar on business intelligence organized by CSI Coimbatore Chapter. It discusses how operational business intelligence with 1KEY can provide real-time reporting, dynamic collaboration, intuitive data visualization, and be cost-effective for all users. It also cautions against common flaws when implementing business intelligence like lack of business user involvement, poor data quality, and not aligning BI with business strategy.
Critical success factors to develop and deliver a forward-looking BI strategy...
sap.com/analytics - This SAPinsider #BI2015 session attendees will learn key elements of an effective BI strategy that benefits both IT and the core business alike.
If You Don’T Get It
A fable that was told in India many years ago. It is a good warning about how our sensory perceptions can lead to misinterpretations.
If I retold this story today to teach a lesson about BI, I might call it “Three blind analysts and a data warehouse.” Business people struggle every day to make sense of data, stumbling blindly, touching only small parts of the information, and coming away with a narrow and fragmented understanding of what it means. Conventional BI tools make it unnecessarily difficult to explore data from multiple perspectives, so analysts tend to pursue only a limited set of predetermined questions. It is simply too time consuming to explore the data thoroughly, allowing fresh discoveries to lead them to comprehensive and free-flowing exploration. Without the ability to examine data from multiple perspectives simultaneously, many of the meaningful relationships that exist in our data will remain hidden.
We stumble blindly and understand only in part, mostly because we are disabled by ineffective tools. BI solution makes it so easy to shift from one perspective to another while exploring and analyzing data that we, as analysts, are encouraged to pursue every question that arises during the process, almost as fast as we can think of them. Because we are not distracted by the mechanics of using the software or forced to go through time-consuming steps to get from one view of the data to another, we become immersed in the data and the analytical process. We are able to spend our time thinking about the data, not wrestling with the software.
Business intelligence competency centre strategy and road map
The document outlines a strategy and roadmap for a Business Intelligence Competency Centre (BICC). It discusses how data is fueling new functions in media agencies and the need for data management services. It proposes that a BICC can provide centralized knowledge, best practices, and cost savings to support broader BI initiatives. Key components of an effective BICC include an organizational structure with roles like a director, business analysts, and technical consultants. The ultimate goals of the BICC are to help the organization meet BI metrics and ensure strategic, easy access to information across the business.
Real Life, Strategic BI Strategy for your IT Organization
This document summarizes key aspects of developing a strategic business intelligence (BI) approach, including fitting BI within an overall IT strategy, implementing BI competency centers and standards, and using BI to improve IT performance. It discusses establishing a BI strategy to determine priority business questions and initiatives. The document also provides examples of strategic BI implementations and outlines stages of BI maturity from an initial, siloed approach to an integrated, strategic enabler of business goals.
Preparing Your Own Strategic BI Vision and Roadmap: A Practical How-To Guide
No single organizational initiative warrants preparation, planning and strategy more than the decision to invest in a Business Intelligence (BI) Program. Many organizations make BI one of their priorities because of the organization’s leadership direction. From a strategic perspective, information remains as one of the most valuable assets to an organization. True organizational responsiveness begins with an alignment of organizational strategy to a BI program. You will not want to miss this opportunity to understand the methodology needed to develop a BI Strategic Vision and Roadmap for your organization.
Challenges
This document discusses key challenges in business intelligence (BI) adoption and provides perspectives from industry experts. It outlines challenges such as lack of coordination between IT and business units and lack of connection between BI tools and corporate strategy. The document also discusses how BI can provide competitive advantage when used as part of a continuous process to gain insights rather than a one-time project. It concludes with contact information for follow up.
ca mayu.pptx
Business intelligence (BI) and business analytics (BA) both involve collecting and analyzing data to help organizations improve. BI focuses on using current and past data to optimize current operations and increase efficiency. BA focuses on using past and present data to analyze trends and prepare businesses for future changes by exploring new business models. The key difference is that BI aims to improve current performance, while BA aims to help strategic planning. The document provides examples of popular BI and BA software and discusses factors to consider when choosing between them, such as whether the goal is optimizing current operations or changing business strategies.
Bi ebook
Why Business Intelligence. Considerations and Components to understand why, how and what at an entry level
Bi ebook
BI allows organizations to analyze large amounts of data from multiple sources to better understand their business and make informed decisions. It provides predictive analytics capabilities through tools like dashboards, reports, and data visualization. Implementing a successful BI system requires integrating data from across an organization's various databases and systems, defining important KPIs, and providing users with self-service analytics tools to track metrics and receive alerts. BI has been shown to increase financial performance, speed of decision making, and ability to execute decisions as intended.
Business Intelligence with Data Approach
Presenting the BI Approaches and Functions which is used to develop any kinds of Database system for any organization for their better operation. Trying to mention the functional overview of Database function which is used to develop any kind of business intelligence system.
Power BI Training Empowering Businesses with Interactive Dashboards.pptx
Power BI training empowers users with the necessary skills for cleaning and shaping raw data, guaranteeing that it is in the correct format for analysis.
Power bi implementation for finance services firms
Addend Analytics is a Microsoft Power BI-partner based in Mumbai, India. Apart from being authorized for Power BI implementations, Addend has successfully executed Power BI projects for 100+ clients across sectors like financial services, Banking, Insurance, Retail, Sales, Manufacturing, Real estate, Logistics, and Healthcare in countries like the US, Europe, Australia, and India. Companies partnering with us save their valuable time and efforts of searching and managing resources while saving hugely on the development costs and hence, most of the small and medium enterprises in North America prefer Addend to be their Power BI implementation partner.
Ibm cloud forum april - blue insight final
The document discusses IBM's Business Analytics Center of Competence (BACC) and its Blue Insight analytics cloud. The BACC centralized IBM's previously fragmented analytics environment, providing standardized tools, processes and a common infrastructure through Blue Insight. This has generated over $25 million in savings over 5 years by reducing costs through virtualization, standardization and automation. The BACC aims to further expand its services and maturity to continue driving business value.
Optimize The Way Your Business Is Viewed
This document discusses how businesses can optimize their use of data through aligning business intelligence and corporate performance management applications. It recommends developing scorecards and key performance indicators to measure the impact of analytics on business strategy. Implementing an integrated BI and CPM solution can help overcome barriers by providing enterprise dashboards, multi-dimensional simulations, forecasting, and single repository for a unified version of the truth.
Optimize The Way Your Business Is Viewed
This document discusses how businesses can optimize their use of data through aligning business intelligence and corporate performance management applications. It recommends developing scorecards and key performance indicators to measure the impact of analytics on business strategy. Implementing integrated BI and CPM solutions can help overcome barriers by providing enterprise dashboards, multi-dimensional simulations, forecasting, and single repository for reporting and planning.
Tdwi bif-short form
The document discusses developing a strategic intelligence framework and roadmap. It proposes a 5-step approach to create a strategic business intelligence plan, including conducting an inventory of current solutions, defining value, creating a deployment map, establishing measurement criteria, and setting enhancement targets. The goal is to develop a cohesive SBI strategy in phases, first building a solid foundation of governance, education, and communication before incrementally building business capabilities on top of that foundation.
Business Intelligence Module 4
The document discusses critical challenges for business intelligence (BI) project success. It states that over half of BI projects fail or do not deliver promised benefits. The top reasons for failure are treating BI as just another IT project rather than a constantly evolving strategy, and not addressing 10 critical challenges. These challenges include lack of cross-organizational collaboration, unengaged business sponsors, unavailable business representatives, lack of skilled staff, no iterative development methodology, and overreliance on tools without understanding their proper use.
Similar to [Webinar] Top Power BI Updates You *Acutally* Need to Know (20)
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
A BUSINESS APPLICAION FOR AN E-COMMERCE BUSINESS MANGEMENT THAT ANALYSES THE ...
Critical success factors to develop and deliver a forward-looking BI strategy...
Critical success factors to develop and deliver a forward-looking BI strategy...
Business intelligence competency centre strategy and road map
Business intelligence competency centre strategy and road map
Real Life, Strategic BI Strategy for your IT Organization
Real Life, Strategic BI Strategy for your IT Organization
Preparing Your Own Strategic BI Vision and Roadmap: A Practical How-To Guide
Preparing Your Own Strategic BI Vision and Roadmap: A Practical How-To Guide
Power BI Training Empowering Businesses with Interactive Dashboards.pptx
Power BI Training Empowering Businesses with Interactive Dashboards.pptx
Power bi implementation for finance services firms
Power bi implementation for finance services firms
More from CCG
Introduction to Machine Learning with Azure & Databricks
Join CCG and Microsoft for a hands-on demonstration of Azure’s machine learning capabilities. During the workshop, we will:
- Hold a Machine Learning 101 session to explain what machine learning is and how it fits in the analytics landscape
- Demonstrate Azure Databricks’ capabilities for building custom machine learning models
- Take a tour of the Azure Machine Learning’s capabilities for MLOps, Automated Machine Learning, and code-free Machine Learning
By the end of the workshop, you’ll have the tools you need to begin your own journey to AI.
Analytics in a Day Ft. Synapse Virtual Workshop
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Data Governance Workshop
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Analytics in a Day Ft. Synapse Virtual Workshop
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Analytics in a Day Ft. Synapse Virtual Workshop
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
How to Create a Data Analytics Roadmap
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Analytics in a Day Ft. Synapse Virtual Workshop
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.
Power BI Advanced Data Modeling Virtual Workshop
Join CCG and Microsoft for a virtual workshop, hosted by Solution Architect, Doug McClurg, to learn how to create professional, frustration-free data models that engage your customers.
Machine Learning with Azure and Databricks Virtual Workshop
Join CCG and Microsoft for a hands-on demonstration of Azure’s machine learning capabilities. During the workshop, we will:
- Hold a Machine Learning 101 session to explain what machine learning is and how it fits in the analytics landscape
- Demonstrate Azure Databricks’ capabilities for building custom machine learning models
- Take a tour of the Azure Machine Learning’s capabilities for MLOps, Automated Machine Learning, and code-free Machine Learning
By the end of the workshop, you’ll have the tools you need to begin your own journey to AI.
Artificial Intelligence Executive Brief
Join Brian Beesley, Director of Data Science, for an executive-level tour of AI capabilities. Get an inside peek at how others have used AI, and learn how you can harness the power of AI to transform your business.
Analytics in a Day Virtual Workshop
Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a two-day virtual workshop, hosted by James McAuliffe.
Advance Data Visualization and Storytelling Virtual Workshop
Join CCG and Microsoft for a virtual workshop, hosted by Senior BI Architect, Martin Rivera, taking you through a journey of advanced data visualization and storytelling.
Azure Fundamentals Part 3
In early 2019, Microsoft created the AZ-900 Microsoft Azure Fundamentals certification. This is a certification for all individuals, IT or non IT background, who want to further their careers and learn how to navigate the Azure cloud platform.
Learn about AZ-900 exam concepts and how to prepare and pass the exam
Analytics in a Day Virtual Workshop
The document discusses the challenges of maintaining separate data lake and data warehouse systems. It notes that businesses need to integrate these areas to overcome issues like managing diverse workloads, providing consistent security and user management across uses cases, and enabling data sharing between data science and business analytics teams. An integrated system is needed that can support both structured analytics and big data/semi-structured workloads from a single platform.
Power BI Advance Modeling
This document provides an overview and agenda for a Power BI Advanced training course. The course objectives are outlined, which include understanding data modeling concepts, calculated columns and measures, and evaluation contexts in DAX. The agenda lists the modules to be covered, including data modeling best practices, modeling scenarios, and DAX. Housekeeping items are provided, instructing participants to send questions to Sami and mute their lines. It is noted the session will be recorded.
Azure Fundamentals Part 2
This document provides an overview of Azure core services, including compute, storage, and networking options. It discusses Azure management tools like the portal, PowerShell, and CLI. For compute, it covers virtual machines, containers, App Service, and serverless options. For storage, it discusses SQL Database, Cosmos DB, blob, file, queue, and data lake storage. It also discusses networking concepts like load balancing and traffic management. The document ends with potential exam questions related to Azure services.
Shape Your Data into a Data Model with M
This document provides an agenda and objectives for an advanced Power BI training session. The agenda includes sections on Power BI M transformations, merge types, creating a BudgetFact table using multiple queries, and data profiling. The objectives are to understand M transformations, merging queries, using multiple queries for advanced transformations, and data profiling. Attendees will learn key M transformations like transpose, pivot columns, and unpivot columns. They will also learn about different merge types in Power BI.
Azure Fundamentals Part 1
This document provides an overview of Azure cloud concepts for exam preparation. It begins with an introduction to cloud computing benefits like scalability, reliability and cost effectiveness. It then covers Azure architecture including regions, availability zones and performance service level agreements. The document reviews cloud deployment models and compares infrastructure as a service, platform as a service and software as a service. It also discusses how to use the Azure pricing calculator and reduce infrastructure costs. Potential exam questions are provided at the end.
Introduction to Microsoft Power BI
Business intelligence dashboards and data visualizations serve as a launching point for better business decision making. Learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Data Governance and MDM | Profisse, Microsoft, and CCG
CCG will introduce a methodology and framework for DG that allows organizations to assess DG faster, deriving actionable insights that can be quickly implemented with minimal disruption. CCG will also review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights. In addition, Profisee will introduce a popular component of data governance, MDM.
More from CCG (20)
Introduction to Machine Learning with Azure & Databricks
Introduction to Machine Learning with Azure & Databricks
Machine Learning with Azure and Databricks Virtual Workshop
Machine Learning with Azure and Databricks Virtual Workshop
Advance Data Visualization and Storytelling Virtual Workshop
Advance Data Visualization and Storytelling Virtual Workshop
Data Governance and MDM | Profisse, Microsoft, and CCG
Data Governance and MDM | Profisse, Microsoft, and CCG
Recently uploaded
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Recently uploaded (20)
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
[Webinar] Top Power BI Updates You *Acutally* Need to Know
- 1. TOP POWER BI UPDATES YOU *ACTUALLY* NEED TO KNOW How to Get the Most from Your BI InvestmentHow to Get the Most from Your BI Investment
- 2. CCG We bring great People together to do extraordinary Things DATA ANALYTICS STRATEGY Working with CCG is like working with extended team members. Consultants become an integral part of the work bringing expertise for cutting edge design and development. - CIO, HCPS
- 3. Andy Lawrence Senior Power BI Consultant • Tenured Business Intelligence and Data Visualization Leader with a focus in Microsoft Power BI • Leader of the Power BI User Group (PUG) of Tampa Bay • Background in T-SQL, Data Modeling, Reporting and Data Strategy • Industry Experience in Retail, Finance, Medical and Education
- 4. Background Break Down of Updates by Month Demo of Updates Q&A AGENDA
- 5. Completeness of Updates Demo for Beginners Visuals Only Caveats
- 6. New Modeling View November 2018 New Filter Experience
- 7. 1 2 3 4 February 2019 Cross-highlight on a single point in line charts Update default visual interaction to cross- filter Key influencers Visual Explain Increase/Decreases
- 8. 1 2 3 March 2019 Single select slicer Heat map support for Bing maps Cross-highlight by axis labels
- 9. Drillthrough across reports April 2019 Conditional formatting for visual titles
- 10. 1 2 3 May 2019 Performance Analyzer Aggregations Incremental Refresh (premium)
- 11. 1 2 3 Jun - Aug 2019 Visual Level Filter for Slicers Grouping visuals Icon set picker
- 12. 1 2 3 4 September 2019 New default themes Personalized visualization pane improvements (preview) Conditional formatting for more visual formatting options (Border color) Drill through alt text
- 13. 1 2 3 Oct / Nov / Dec 2019 New Q&A Visual Customize and Export Themes
- 14. Filter Pane Toggle Oct / Nov / Dec 2019 (cont.) KPI Formatting Settings
- 15. Demonstration
- 16. Q&A
- 17. THANK YOU! www.ccganalytics.com/solutions | (813) 968-3238
Editor's Notes
- Andy Lawrence is a tenured business intelligence and data visualization leader with a focus in Microsoft Power BI. Currently, Andy serves as a Senior Power BI Consultant at CCG and Leader of the Power BI User Group (PUG) of Tampa Bay. His experience is in T-SQL, Data Modeling, reporting and data strategy across retail, finance, medical and education industries. Andy is backed by an MBA and MS in Business Analytics and Information Systems, which when paired with his experience, enables him to educate and empower his clients in all things analytics.