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[post_content] => When selecting a reporting and analytics solution there are several criteria and factors to consider. While the priority of criteria may change by company, the core set of requirements does not.
Five Criteria for Selecting Business Intelligence Software
-
- Ease of Use – The basic premise of self-service analytics, or "Modern BI" as Gartner calls it in their Magic Quadrant, is that business users have the access they need to the data that is important to them, and that the BI tool is intuitive, thus mitigating their reliance on IT. With modern reporting and analytics tools, AI is being introduced to assist the user with Quick Insights and other AI-driven data discoveries.
- Standardization – Reporting and analytics have evolved rapidly over the past decade to encompass more than just historical reporting, i.e. what happened last quarter or last month? Visualization of that data to expose trends and other nuanced insights from the data is paramount today in running a business. More recently, predictive modeling and data science have taken on an even more important role around data, i.e. what will happen next month or quarter? Ultimately, a business will benefit greatly by prescriptive analytics, i.e. here's what we do when this happens, to avoid costly downtime or capitalize on market trends. To educate and train yourself within these principles in hopes of a data science job, there are now many online training courses available such as those provided by Springboard just as one example, already being trained can greatly increase chances of a job offer. Having a single reporting and analytics tool that can help accommodate this journey means you can standardize on a single platform. This will simplify support for data connections and internal training for users at every level.
- Performance – With the adoption of reporting and analytics tools across a wider group of users within the organization, you should find Profit OKR Software or a BI tool that can accommodate many concurrent users and that can scale to meet the demands of complex reports and visualizations. Look for tools that can leverage cloud processing environments to give you that scale independent of on-premise proprietary hardware and software solutions. Migrating your JD Edwards data to the cloud will also provide a streamlined transition to another ERP solution in the future.
- Empower Management – BI reporting and analytics is only valuable if the data can be "consumed" by a wide variety of business users across the organization. Where the C-Suite may require a KPI dashboard to give them a summary of the business performance, individual department heads will want to drill down easily into their respective data to make informed business decisions. Your BI tool should allow for data exploration with an intuitive interface that assists users at all levels of technical knowledge to gain insights independently.
- Integration – JD Edwards has 4,000 tables and 80,000 fields, and is awash with obscure naming conventions that require translation into a meaningful business glossary to let you derive value from the data. Look for a software solution such as Preferred Strategies QuickLaunch to bridge the gap from JD Edwards and give you the widest choice of access to modern BI and reporting solutions with the minimum of integration and support by your IT department or independent systems integrators.
The goal is to choose the software that provides the best balance of capabilities and characteristics that will not only meet your short term requirements, but is also visionary enough to meet your organization's long-term information goals.
[post_title] => Five Criteria for Selecting a Self-Service Reporting & Analytics Solution for JD Edwards
[post_excerpt] => When selecting a reporting and analytics solution there are several criteria and factors to consider.
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[post_content] => Contrary to the opinion of Colonel Nathan Jessup, portrayed by Jack Nicholson in the 1992 movie A Few Good Men, not only can you handle the truth, but you must as an essential aspect of a self-service data environment.
For business leaders who rely on reports to gain analytical insights, the accuracy of the source data is of utmost importance. If the source data is suspect, then the resulting outputs must be given an equal amount of suspicion.
Unlocking the Tribal Knowledge
Historically data and analytics tasks have been handled by IT. The business user would request a report, and the IT department would source, cleanse, enrich and transform the data using Extract, Transform and Load (ETL) processes. Because the IT person is knowledgeable about data they can see when there are data errors, and perform cleansing, normalization or other processes as needed prior to transformation. This tribal knowledge is usually not transferred from one user to another or captured as necessary steps when using a specific data source. When that person leaves the company, the tribal knowledge leaves with her, requiring the next member of the IT department to learn the process and nuances of data sources all over again.
The concept of master data management (MDM) was introduced to alleviate some of this tribal knowledge lock-in. The concept is straightforward; if there is a data source that is accessed regularly, such as customer data or sales data, then perform these cleansing and normalization tasks and store a new, clean, managed data set that others can access. Operational processes must be put in place to implement Change Data Capture or Incremental Data Capture functions on the source dataset, and to ensure that the same processes are applied and then update the master dataset—the trusted data—for that source.
Beyond the data is the need for clarity around data attributes or column headers in a database. These are often obscure, such as those in JD Edwards ERP systems, whereby a business user would be unlikely to know the meaning of the attribute name. The Preferred Strategies QuickLaunch product leverages the JDE dictionary by exposing the translation from obscure attribute descriptions to the modern BI tools.
Trusted Data Sources
In the new paradigm of self-service data and analytics, the importance of trusted data becomes even more paramount so that business users across the organization can feel confident about data integrity. This can be achieved by hosting the curated or trusted data in an environment such as a data warehouse or cloud hosting solution such as Microsoft Azure or AWS and connecting BI tools such as Microsoft® Power BI to that data. If you do end up using Azure, it is crucial that you are constantly monitoring its performance to ensure that it is working at a high level. To make this happen, it may be a good idea to have a look at somewhere like https://www.thousandeyes.com/solutions/azure-monitoring to familiarise yourself with how Azure monitoring works. The Preferred Strategies QuickLaunch Direct Connect and Data Warehouse option provides this level of data governance. The Analysis Services Tabular/Cube option provides for an even greater level of governance and security namely, metrics or calculated values governance.
The business user will know that the insights being generated are derived from data that the whole organization believes to be the most accurate – the real power behind trusted data. In this scenario, any debate is about the insights being derived or presented, and not about the accuracy of the data itself.
Trusted Calculated Measures and KPIs
This same level of governance and trust extends beyond source or derived data into calculated measures or KPIs, such as cost of goods sold (COGS). COGS, or sales margin, often requires multiple attributes to be combined together, such as raw material cost, handling costs, manufacturing cost, packaging costs, documentation costs, shipping costs, etc. In some cases there may be as many as 30 or more attributes, leaving plenty of margin for error. And yet COGS is a critical number to get right if you are trying to understand profitability. Manufacturers with multiple divisions—especially where a division has been acquired—often find that calculated values are derived differently between business units, again undermining the trust of the derived business insights and reports.
The good news is that there are tools on the market to help JD Edwards customers identify and manage trusted data. Preferred Strategies QuickLaunch™ for example leverages over 10 years of knowledge built up around JD Edwards and provides governance for calculated measures and a host of other business-specific calculated values. When using QuickLaunch, the entire organization can be assured that the when they drag Revenue or Quantity on Hand onto a visualization canvas the underlying data and calculations will be correct. These calculated values are “locked down” by a data governance policy that prevents users from changing the underlying data attributes or the calculation.
How many presentations have you been in when reviewing analytics or reporting on data-driven insights where the first question from the audience is, “Where did you get this data?”. Trusted data answers this question—unequivocally!
[post_title] => You Can Handle The Truth!
[post_excerpt] => Contrary to the opinion of Colonel Nathan Jessup, portrayed by Jack Nicholson in the 1992 movie A Few Good Men, not only can you handle the truth, but you must as an essential aspect of a self-service data environment.
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[post_title] => Machine Learning with JDE Data
[post_excerpt] => See how analytics tools like Microsoft® Power BI incorporate built-in machine learning capabilities that integrate seamlessly with JDE using Preferred Strategies™ QuickLaunch. Presented by David Kettinger, Data Analytics Consultant, Preferred Strategies.
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[post_title] => The Clif Bar Journey with Data
[post_excerpt] => Learn how Clif Bar implemented Preferred Strategies QuickLaunch for Microsoft® Power BI to empower business users to gain rapid, self-service reporting and business insights from the company’s data. Presented by Todd Wilson, SVP Information Technology, The Clif Bar Company.
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[post_title] => Governance & Security
in a Self-Service Data Environment
[post_excerpt] => Business user self-service access to JDE data for reporting and analysis promises faster insights and a reduction in workload for IT. However, this must be achieved under a governance and security policy. Read how this can be achieved with QuickLaunch.
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[post_content] => According to Gartner Research, by 2020 self-service data preparation tools will be used in more than 50% of all new data integration efforts for analytics. In the same time frame, 85% of new BI platform spending by large and midsize organizations globally will be on modern BI platforms such as a sharepoint dashboard to display concise but detailed and relevant data on any business interaction, process or sales, etc. Any way you look at it, the trend is here to stay: the ability for business users to access data across the enterprise and then cleanse, enrich, join, normalize, and format the data for visualization on a BI tool is now an essential part of day-to-day business operations in any department.
Another important trend is the clear emergence of self-service BI tools such as Microsoft® Power BI- which recently took the top spot in Gartner's Self-Service BI Magic Quadrant-Tableau, and Qlik as mainstream productivity tools for business professionals. From KPI dashboards to function-specific analytics and reporting, to advanced data science and predictive modeling, advanced visualization tools are used daily to understand and derive value from an ever-growing volume of data.
These trends are especially applicable to JD Edwards users who, until now, have been reliant on IT resources and programmers to derive insights from the data. JD Edwards offers various modules that cover a wide range of business functions across the company. From finance and accounting to HR and sales, the JDE modules are designed to provide critical back office infrastructure for day-to-day operations.
Preferred Strategies QuickLaunch™ for Microsoft Power BI delivers complementary dashboard visualizations for each of the JDE modules. Like all things, some modules are used more widely than others so we want to take this opportunity to introduce you to each of the Magnificent Seven.
Finance & Accounting
General Ledger |
Accounts Receivable |
Accounts Payable |
Distribution
Sales |
Inventory |
Procurement |
Manufacturing
With QuickLaunch for Power BI you will be up and running in hours, and self-sufficient with reporting and analytics. As Jeff Cook, CFO at Mann Packing, a grower/distributor in California said, "This is nirvana! We accomplished more with QuickLaunch and Power BI in hours than we have with other systems in years."
Find out how QuickLaunch for Power BI can transform your reporting and analytics with the Magnificent Seven.
Contact us today for a demo or try it
FREE for yourself. Don't let your growing volume of data turn your business in to the Wild West!
[post_title] => Meet the Magnificent Seven
[post_excerpt] => According to Gartner Research, by 2020 self-service data preparation tools will be used in more than 50% of all new data integration efforts for analytics. In the same time frame, 85% of new BI platform spending by large and midsize organizations globally will be on modern BI platforms such as a sharepoint dashboard to display concise but detailed and relevant data on any business interaction, process or sales, etc.
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Evolving with JD Edwards
Haskell delivers Architecture, Engineering, Construction (AEC) and Consulting solutions to assure certainty of outcome for complex capital projects worldwide. JD Edwards has been in use at Haskell for over 20 years. While the underlying JDE system continued to meet their ERP needs over the years, their legacy BI and data management system did not. The company decided to unify its data in a data warehouse to enable faster reporting and analytics from JD Edwards and other corporate data sources.
Leapfrogging Ahead With QuickLaunch and Power BI
After an evaluation process, the Haskell IT group selected Preferred Strategies QuickLaunch for Microsoft Power BI and Enterprise Data Warehouse solution to create a self-service data environment for their hosted JDE system. We also took a look at some of the
Power Bi course providers that would help current employees increase their BI skills. Key functions include; General Ledger, Accounts Payable, Accounts Receivable, Job Cost, Purchasing, and HR/Payroll. QuickLaunch has transformed how Haskell business users interact with data by enabling self-service BI with IT governance.
"Throughout the entire process, Preferred Strategies has been a true partner to us for our data warehousing and reporting needs," said Sean Browning, Manager of Business Analytics, Haskell.
Learn more about how Haskell is using QuickLaunch and Power BI for self-service JDE reporting and analytics. Read the full
case study.
This sample dashboard illustrates the type of report and visualizations that Haskell employees now have at their fingertips, giving business users the real-time data needed to make competitive decisions. The screenshot shown here contains sample data only, and does not represent actual Haskell information.
[post_title] => Haskell: Building a Self-Service JDE Data Environment with QuickLaunch for Power BI
[post_excerpt] => Evolving with JD Edwards Haskell delivers Architecture, Engineering, Construction (AEC) and Consulting solutions to assure certainty of outcome for complex capital projects worldwide. JD Edwards has been in use at Haskell for over 20 years.
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[post_title] => How to Build JDE Dashboards in minutes that will get you noticed
[post_excerpt] => Data visualizations are one of the most valuable ways that business leaders gain meaning from corporate information. Visualizations help spot trends earlier and help business leaders to react sooner and plan for future business growth and profitability. If your business runs on J D Edwards then you’re sitting on a gold mine of information just waiting to be presented.
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[post_title] => Mann Packing Streamlines Reporting & Analytics from JD Edwards
[post_excerpt] => Mann Packing has deployed QuickLaunch to provide self-service reporting & analytics across the company from the boardroom to the shipping department. Every aspect of their business is benefiting by giving more immediate access to data.
Tom Langell, Director IT, at Mann Packing will describe their journey to self-service data and where they see this data agility taking them in the future.
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[post_content] => When selecting a reporting and analytics solution there are several criteria and factors to consider. While the priority of criteria may change by company, the core set of requirements does not.
Five Criteria for Selecting Business Intelligence Software
-
- Ease of Use – The basic premise of self-service analytics, or "Modern BI" as Gartner calls it in their Magic Quadrant, is that business users have the access they need to the data that is important to them, and that the BI tool is intuitive, thus mitigating their reliance on IT. With modern reporting and analytics tools, AI is being introduced to assist the user with Quick Insights and other AI-driven data discoveries.
- Standardization – Reporting and analytics have evolved rapidly over the past decade to encompass more than just historical reporting, i.e. what happened last quarter or last month? Visualization of that data to expose trends and other nuanced insights from the data is paramount today in running a business. More recently, predictive modeling and data science have taken on an even more important role around data, i.e. what will happen next month or quarter? Ultimately, a business will benefit greatly by prescriptive analytics, i.e. here's what we do when this happens, to avoid costly downtime or capitalize on market trends. To educate and train yourself within these principles in hopes of a data science job, there are now many online training courses available such as those provided by Springboard just as one example, already being trained can greatly increase chances of a job offer. Having a single reporting and analytics tool that can help accommodate this journey means you can standardize on a single platform. This will simplify support for data connections and internal training for users at every level.
- Performance – With the adoption of reporting and analytics tools across a wider group of users within the organization, you should find Profit OKR Software or a BI tool that can accommodate many concurrent users and that can scale to meet the demands of complex reports and visualizations. Look for tools that can leverage cloud processing environments to give you that scale independent of on-premise proprietary hardware and software solutions. Migrating your JD Edwards data to the cloud will also provide a streamlined transition to another ERP solution in the future.
- Empower Management – BI reporting and analytics is only valuable if the data can be "consumed" by a wide variety of business users across the organization. Where the C-Suite may require a KPI dashboard to give them a summary of the business performance, individual department heads will want to drill down easily into their respective data to make informed business decisions. Your BI tool should allow for data exploration with an intuitive interface that assists users at all levels of technical knowledge to gain insights independently.
- Integration – JD Edwards has 4,000 tables and 80,000 fields, and is awash with obscure naming conventions that require translation into a meaningful business glossary to let you derive value from the data. Look for a software solution such as Preferred Strategies QuickLaunch to bridge the gap from JD Edwards and give you the widest choice of access to modern BI and reporting solutions with the minimum of integration and support by your IT department or independent systems integrators.
The goal is to choose the software that provides the best balance of capabilities and characteristics that will not only meet your short term requirements, but is also visionary enough to meet your organization's long-term information goals.
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Blog
You Can Handle The Truth!
October 08, 2018
Contrary to the opinion of Colonel Nathan Jessup, portrayed by Jack Nicholson in the 1992 movie A Few Good Men, not only can you handle the truth, but you must as an essential aspect of a self-service data environment.
Webinar
Machine Learning with JDE Data
See how analytics tools like Microsoft® Power BI incorporate built-in machine learning capabilities that integrate seamlessly with JDE using Preferred Strategies™ QuickLaunch. Presented by David Kettinger, Data Analytics Consultant, Preferred Strategies.
Webinar
The Clif Bar Journey with Data
Learn how Clif Bar implemented Preferred Strategies QuickLaunch for Microsoft® Power BI to empower business users to gain rapid, self-service reporting and business insights from the company’s data. Presented by Todd Wilson, SVP Information Technology, The Clif Bar Company.
Blog
Meet the Magnificent Seven
September 05, 2018
According to Gartner Research, by 2020 self-service data preparation tools will be used in more than 50% of all new data integration efforts for analytics. In the same time frame, 85% of new BI platform spending by large and midsize organizations globally will be on modern BI platforms such as a sharepoint dashboard to display concise but detailed and relevant data on any business interaction, process or sales, etc.
Webinar
How to Build JDE Dashboards in minutes that will get you noticed
Data visualizations are one of the most valuable ways that business leaders gain meaning from corporate information. Visualizations help spot trends earlier and help business leaders to react sooner and plan for future business growth and profitability. If your business runs on J D Edwards then you’re sitting on a gold mine of information just waiting to be presented.
Webinar
Mann Packing Streamlines Reporting & Analytics from JD Edwards
Mann Packing has deployed QuickLaunch to provide self-service reporting & analytics across the company from the boardroom to the shipping department. Every aspect of their business is benefiting by giving more immediate access to data.
Tom Langell, Director IT, at Mann Packing will describe their journey to self-service data and where they see this data agility taking them in the future.
