SlideShare una empresa de Scribd logo
1 de 17
The Truth About Analytics A Presentation for Microsoft Dynamics Customers
MSDynamicsworld.com Survey Conducted in April 2010 Online survey of Microsoft Dynamics AX, NAV, CRM & GP customers 432 respondents globally Examined current status and trends in using reporting and analytics
Industry Please specify the industry in which you work
Country What country do you work in?
Need to improve analytical capabilities to remain competitive Does your organization need to improve its analytical capabilities to remain competitive?
What respondents said “Lots of information but no formal way to report and analyze.” “We need to leverage our data better, identifying trends and correlations to improve forecasting.” “Not so much competitive as trying to stay afloat in this economy.” “We have to better manage our cost structure at the lowest level possible.” “The recent downturn highlighted that relying on instinct does not always work.” “Business needs on demand info to remain competitive. If a sales manager cannot pull out necessary details for analysis, the business suffers!” “We want information faster and more accurate so that we can remain the leader in the market and not be forced to react to issues.”
Challenges in analyzing and reporting on Microsoft Dynamics data What challenges do you face in analyzing and reporting on Microsoft Dynamics data?
What respondents said “We are slim on resources and fully don’t understand what is available to us and what would make the most impact with the least investment.” “Quantity of data vs. speed of accessing the data.” “Some manufacturing data is in another system - disparate database create challenges.” “Too complex for my users to understand.” “Most of our reporting is done manually using Excel.” “Not sure what tools to use for different analysis needs.”
The use of offline spreadsheets Is reporting and analysis performed using offline spreadsheets that are not connected to the original Microsoft Dynamics data source?
Offline spreadsheets causing accuracy and data issues Does offline reporting and analysis cause any issues with accuracy and data integrity?
What respondents said “Human intervention = higher chance for human error.” “Separate spreadsheets generally mean separate data. No way to integrate the offline analysis back into the data set.” “Had an Excel spreadsheet tracking leads, but it takes so long to update at remote locations that they cannot use it. It shows old data until it updates and not everyone is aware what’s happening.” “Data accuracy and integrity is critical and needs to be reviewed and tested before it’s ready for wide scale usage.” “Since it is offline, each user may have different version of the so called ‘true data’, hence the data integrity problem.” “Absolutely. We goof up a pivot table link, fail to capture all the data, or fail to understand how underlying data has changed thereby making our spreadsheet obsolete.” “Difficult to update reports without downloading new data, which takes far too long.”
Rate your current organizational performance Managing inventoryHighest number of “Very Poor” votes Managing supplier performanceHighest number of “Poor” votes Evaluating performanceHighest number of “Average” votes Achieving growth and recurring business from existing customersHighest number of “Effective” and “Very Effective” votes
Top 3 areas where improvement would have the biggest impact on organizational performance
Tools and solutions used to report on and analyze Microsoft Dynamics data
Barriers to Business Intelligence
What respondents said “Trying to decide whether it should be NAV specific or a more general solution because of the mass of legacy data.” “Not setup to utilize properly.” “Hard to work with internal IT dept to implement.” “Yet to decide on what toolset meets our needs and even what our needs are as we are somewhat stuck in a culture of printed reports.” “Working on creating one that addresses our measurement points.” “We have solution but we don’t have the skilled persons to implement.”
Who is Zap? ,[object Object]

Más contenido relacionado

La actualidad más candente

Six steps to leveraging location for the Canadian insurance industry
Six steps to leveraging location for the Canadian insurance industrySix steps to leveraging location for the Canadian insurance industry
Six steps to leveraging location for the Canadian insurance industryDMTI Spatial
 
IBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesIBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesNatalija Pavic
 
Wat is uw data waard
Wat is uw data waardWat is uw data waard
Wat is uw data waardMicrosoft NL
 
Business Intelligence Dashboard best practice webinar (2013)
Business Intelligence Dashboard best practice webinar (2013)Business Intelligence Dashboard best practice webinar (2013)
Business Intelligence Dashboard best practice webinar (2013)Yellowfin
 
Data science team, a practice to setup
Data science team, a practice to setupData science team, a practice to setup
Data science team, a practice to setupOmid Mogharian
 
Unlocking Big Data Insights
Unlocking Big Data InsightsUnlocking Big Data Insights
Unlocking Big Data InsightsMicrosoft Canada
 
Tableau - Make your SEO data work for you!
Tableau - Make your SEO data work for you!Tableau - Make your SEO data work for you!
Tableau - Make your SEO data work for you!Renco Smeding
 
Data Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using itData Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using itDomino Data Lab
 
Setting up Data Science for Success: The Data Layer
Setting up Data Science for Success: The Data LayerSetting up Data Science for Success: The Data Layer
Setting up Data Science for Success: The Data LayerCarl Anderson
 
Tamr | cdo-summit
Tamr | cdo-summitTamr | cdo-summit
Tamr | cdo-summitTamr_Inc
 
Leveraging an in-house modeling framework for fun and profit
Leveraging an in-house modeling framework for fun and profitLeveraging an in-house modeling framework for fun and profit
Leveraging an in-house modeling framework for fun and profitCarl Anderson
 
Moving Data Science from an Event to A Program: Considerations in Creating Su...
Moving Data Science from an Event to A Program: Considerations in Creating Su...Moving Data Science from an Event to A Program: Considerations in Creating Su...
Moving Data Science from an Event to A Program: Considerations in Creating Su...Domino Data Lab
 
Data Quality: principles, approaches, and best practices
Data Quality: principles, approaches, and best practicesData Quality: principles, approaches, and best practices
Data Quality: principles, approaches, and best practicesCarl Anderson
 
Real-world state of the BI market: Webinar presentation slides
Real-world state of the BI market: Webinar presentation slidesReal-world state of the BI market: Webinar presentation slides
Real-world state of the BI market: Webinar presentation slidesYellowfin
 
Tamr | Strata hadoop 2014 Michael Stonebraker
Tamr | Strata hadoop 2014 Michael StonebrakerTamr | Strata hadoop 2014 Michael Stonebraker
Tamr | Strata hadoop 2014 Michael StonebrakerTamr_Inc
 
Simplify your analytics strategy
Simplify your analytics strategySimplify your analytics strategy
Simplify your analytics strategyAnkita Kumari
 

La actualidad más candente (20)

Six steps to leveraging location for the Canadian insurance industry
Six steps to leveraging location for the Canadian insurance industrySix steps to leveraging location for the Canadian insurance industry
Six steps to leveraging location for the Canadian insurance industry
 
IBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesIBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training Purposes
 
Wat is uw data waard
Wat is uw data waardWat is uw data waard
Wat is uw data waard
 
Business Intelligence Dashboard best practice webinar (2013)
Business Intelligence Dashboard best practice webinar (2013)Business Intelligence Dashboard best practice webinar (2013)
Business Intelligence Dashboard best practice webinar (2013)
 
Data science team, a practice to setup
Data science team, a practice to setupData science team, a practice to setup
Data science team, a practice to setup
 
Get Data Smart
Get Data Smart Get Data Smart
Get Data Smart
 
Notilyze SAS
Notilyze SASNotilyze SAS
Notilyze SAS
 
Unlocking Big Data Insights
Unlocking Big Data InsightsUnlocking Big Data Insights
Unlocking Big Data Insights
 
Tableau - Make your SEO data work for you!
Tableau - Make your SEO data work for you!Tableau - Make your SEO data work for you!
Tableau - Make your SEO data work for you!
 
Data Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using itData Quality Analytics: Understanding what is in your data, before using it
Data Quality Analytics: Understanding what is in your data, before using it
 
Setting up Data Science for Success: The Data Layer
Setting up Data Science for Success: The Data LayerSetting up Data Science for Success: The Data Layer
Setting up Data Science for Success: The Data Layer
 
Tamr | cdo-summit
Tamr | cdo-summitTamr | cdo-summit
Tamr | cdo-summit
 
Leveraging an in-house modeling framework for fun and profit
Leveraging an in-house modeling framework for fun and profitLeveraging an in-house modeling framework for fun and profit
Leveraging an in-house modeling framework for fun and profit
 
Moving Data Science from an Event to A Program: Considerations in Creating Su...
Moving Data Science from an Event to A Program: Considerations in Creating Su...Moving Data Science from an Event to A Program: Considerations in Creating Su...
Moving Data Science from an Event to A Program: Considerations in Creating Su...
 
Data Quality: principles, approaches, and best practices
Data Quality: principles, approaches, and best practicesData Quality: principles, approaches, and best practices
Data Quality: principles, approaches, and best practices
 
Real-world state of the BI market: Webinar presentation slides
Real-world state of the BI market: Webinar presentation slidesReal-world state of the BI market: Webinar presentation slides
Real-world state of the BI market: Webinar presentation slides
 
Tamr | Strata hadoop 2014 Michael Stonebraker
Tamr | Strata hadoop 2014 Michael StonebrakerTamr | Strata hadoop 2014 Michael Stonebraker
Tamr | Strata hadoop 2014 Michael Stonebraker
 
The Power Of Analytics
The Power Of AnalyticsThe Power Of Analytics
The Power Of Analytics
 
SMAC
SMACSMAC
SMAC
 
Simplify your analytics strategy
Simplify your analytics strategySimplify your analytics strategy
Simplify your analytics strategy
 

Similar a The Truth About Analytics

Expert Big Data Tips
Expert Big Data TipsExpert Big Data Tips
Expert Big Data TipsQubole
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataDATAVERSITY
 
Total Data Industry Report
Total Data Industry ReportTotal Data Industry Report
Total Data Industry ReportRan Zhang
 
Ashley Ohmann--Data Governance Final 011315
Ashley Ohmann--Data Governance Final 011315Ashley Ohmann--Data Governance Final 011315
Ashley Ohmann--Data Governance Final 011315Ashley Ohmann
 
FirstEigen Brochure- All clouds.pdf
FirstEigen Brochure- All clouds.pdfFirstEigen Brochure- All clouds.pdf
FirstEigen Brochure- All clouds.pdfarifulislam946965
 
Architecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsArchitecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsCaserta
 
HSI's Cloud-Hosted Foglight IT Monitoring & APM
HSI's Cloud-Hosted Foglight IT Monitoring & APMHSI's Cloud-Hosted Foglight IT Monitoring & APM
HSI's Cloud-Hosted Foglight IT Monitoring & APMKent Cartwright
 
Big Data Analytics with Microsoft
Big Data Analytics with MicrosoftBig Data Analytics with Microsoft
Big Data Analytics with MicrosoftCaserta
 
Harness the power of data
Harness the power of dataHarness the power of data
Harness the power of dataHarsha MV
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementRay Bachert
 
Enable Advanced Analytics with Hadoop and an Enterprise Data Hub
Enable Advanced Analytics with Hadoop and an Enterprise Data HubEnable Advanced Analytics with Hadoop and an Enterprise Data Hub
Enable Advanced Analytics with Hadoop and an Enterprise Data HubCloudera, Inc.
 
Gain a Holistic View of your Customer's Journey
Gain a Holistic View of your Customer's JourneyGain a Holistic View of your Customer's Journey
Gain a Holistic View of your Customer's JourneyPlatfora
 
5 Essential Practices of the Data Driven Organization
5 Essential Practices of the Data Driven Organization5 Essential Practices of the Data Driven Organization
5 Essential Practices of the Data Driven OrganizationVivastream
 
final oracle presentation
final oracle presentationfinal oracle presentation
final oracle presentationPriyesh Patel
 
From Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringFrom Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringRy Walker
 
Build it…will they come by Shawn Trainer
 Build it…will they come by Shawn Trainer Build it…will they come by Shawn Trainer
Build it…will they come by Shawn TrainerData Con LA
 
Modern Manufacturing: 4 Ways Data is Transforming the Industry
Modern Manufacturing: 4 Ways Data is Transforming the IndustryModern Manufacturing: 4 Ways Data is Transforming the Industry
Modern Manufacturing: 4 Ways Data is Transforming the IndustryTableau Software
 
Top Takeaways from Validate 2019
Top Takeaways from Validate 2019Top Takeaways from Validate 2019
Top Takeaways from Validate 2019ObservePoint
 

Similar a The Truth About Analytics (20)

Expert Big Data Tips
Expert Big Data TipsExpert Big Data Tips
Expert Big Data Tips
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in Data
 
Total Data Industry Report
Total Data Industry ReportTotal Data Industry Report
Total Data Industry Report
 
Bad customer data?
Bad customer data?Bad customer data?
Bad customer data?
 
Ashley Ohmann--Data Governance Final 011315
Ashley Ohmann--Data Governance Final 011315Ashley Ohmann--Data Governance Final 011315
Ashley Ohmann--Data Governance Final 011315
 
FirstEigen Brochure- All clouds.pdf
FirstEigen Brochure- All clouds.pdfFirstEigen Brochure- All clouds.pdf
FirstEigen Brochure- All clouds.pdf
 
Architecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment OptionsArchitecting for Big Data: Trends, Tips, and Deployment Options
Architecting for Big Data: Trends, Tips, and Deployment Options
 
HSI's Cloud-Hosted Foglight IT Monitoring & APM
HSI's Cloud-Hosted Foglight IT Monitoring & APMHSI's Cloud-Hosted Foglight IT Monitoring & APM
HSI's Cloud-Hosted Foglight IT Monitoring & APM
 
Big Data Analytics with Microsoft
Big Data Analytics with MicrosoftBig Data Analytics with Microsoft
Big Data Analytics with Microsoft
 
Harness the power of data
Harness the power of dataHarness the power of data
Harness the power of data
 
Visualizing Your Data Through Dashboards
Visualizing Your Data Through Dashboards Visualizing Your Data Through Dashboards
Visualizing Your Data Through Dashboards
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information Management
 
Enable Advanced Analytics with Hadoop and an Enterprise Data Hub
Enable Advanced Analytics with Hadoop and an Enterprise Data HubEnable Advanced Analytics with Hadoop and an Enterprise Data Hub
Enable Advanced Analytics with Hadoop and an Enterprise Data Hub
 
Gain a Holistic View of your Customer's Journey
Gain a Holistic View of your Customer's JourneyGain a Holistic View of your Customer's Journey
Gain a Holistic View of your Customer's Journey
 
5 Essential Practices of the Data Driven Organization
5 Essential Practices of the Data Driven Organization5 Essential Practices of the Data Driven Organization
5 Essential Practices of the Data Driven Organization
 
final oracle presentation
final oracle presentationfinal oracle presentation
final oracle presentation
 
From Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data EngineeringFrom Volume to Value - A Guide to Data Engineering
From Volume to Value - A Guide to Data Engineering
 
Build it…will they come by Shawn Trainer
 Build it…will they come by Shawn Trainer Build it…will they come by Shawn Trainer
Build it…will they come by Shawn Trainer
 
Modern Manufacturing: 4 Ways Data is Transforming the Industry
Modern Manufacturing: 4 Ways Data is Transforming the IndustryModern Manufacturing: 4 Ways Data is Transforming the Industry
Modern Manufacturing: 4 Ways Data is Transforming the Industry
 
Top Takeaways from Validate 2019
Top Takeaways from Validate 2019Top Takeaways from Validate 2019
Top Takeaways from Validate 2019
 

Último

Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 

Último (20)

Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 

The Truth About Analytics

  • 1. The Truth About Analytics A Presentation for Microsoft Dynamics Customers
  • 2. MSDynamicsworld.com Survey Conducted in April 2010 Online survey of Microsoft Dynamics AX, NAV, CRM & GP customers 432 respondents globally Examined current status and trends in using reporting and analytics
  • 3. Industry Please specify the industry in which you work
  • 4. Country What country do you work in?
  • 5. Need to improve analytical capabilities to remain competitive Does your organization need to improve its analytical capabilities to remain competitive?
  • 6. What respondents said “Lots of information but no formal way to report and analyze.” “We need to leverage our data better, identifying trends and correlations to improve forecasting.” “Not so much competitive as trying to stay afloat in this economy.” “We have to better manage our cost structure at the lowest level possible.” “The recent downturn highlighted that relying on instinct does not always work.” “Business needs on demand info to remain competitive. If a sales manager cannot pull out necessary details for analysis, the business suffers!” “We want information faster and more accurate so that we can remain the leader in the market and not be forced to react to issues.”
  • 7. Challenges in analyzing and reporting on Microsoft Dynamics data What challenges do you face in analyzing and reporting on Microsoft Dynamics data?
  • 8. What respondents said “We are slim on resources and fully don’t understand what is available to us and what would make the most impact with the least investment.” “Quantity of data vs. speed of accessing the data.” “Some manufacturing data is in another system - disparate database create challenges.” “Too complex for my users to understand.” “Most of our reporting is done manually using Excel.” “Not sure what tools to use for different analysis needs.”
  • 9. The use of offline spreadsheets Is reporting and analysis performed using offline spreadsheets that are not connected to the original Microsoft Dynamics data source?
  • 10. Offline spreadsheets causing accuracy and data issues Does offline reporting and analysis cause any issues with accuracy and data integrity?
  • 11. What respondents said “Human intervention = higher chance for human error.” “Separate spreadsheets generally mean separate data. No way to integrate the offline analysis back into the data set.” “Had an Excel spreadsheet tracking leads, but it takes so long to update at remote locations that they cannot use it. It shows old data until it updates and not everyone is aware what’s happening.” “Data accuracy and integrity is critical and needs to be reviewed and tested before it’s ready for wide scale usage.” “Since it is offline, each user may have different version of the so called ‘true data’, hence the data integrity problem.” “Absolutely. We goof up a pivot table link, fail to capture all the data, or fail to understand how underlying data has changed thereby making our spreadsheet obsolete.” “Difficult to update reports without downloading new data, which takes far too long.”
  • 12. Rate your current organizational performance Managing inventoryHighest number of “Very Poor” votes Managing supplier performanceHighest number of “Poor” votes Evaluating performanceHighest number of “Average” votes Achieving growth and recurring business from existing customersHighest number of “Effective” and “Very Effective” votes
  • 13. Top 3 areas where improvement would have the biggest impact on organizational performance
  • 14. Tools and solutions used to report on and analyze Microsoft Dynamics data
  • 15. Barriers to Business Intelligence
  • 16. What respondents said “Trying to decide whether it should be NAV specific or a more general solution because of the mass of legacy data.” “Not setup to utilize properly.” “Hard to work with internal IT dept to implement.” “Yet to decide on what toolset meets our needs and even what our needs are as we are somewhat stuck in a culture of printed reports.” “Working on creating one that addresses our measurement points.” “We have solution but we don’t have the skilled persons to implement.”
  • 17.
  • 18. Provides SQL Server based business intelligence solutions to mid-market businesses
  • 19. Has a range of solutions specifically for Microsoft Dynamics customers that dramatically reduce the time and cost of implementing and maintaining BI solutions
  • 20. Award-winning and Certified for Microsoft Dynamicswww.zaptechnology.com