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                    [post_date] => 2019-01-28 04:59:50
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                    [post_title] => Take IT out of JDE Reporting With Self-Service Analytics
                    [post_excerpt] => QuickLaunch Analytics QuickLaunch™ is a packaged software accelerator designed to enable business users outside of IT to develop JD Edwards reports quickly using easily adopted, modern BI tools like Microsoft® Power BI, Tableau,® Qlik® and a host of others.
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                    [post_title] => Becoming Data Driven with Modern BI Technologies
                    [post_excerpt] => There’s a goldmine of data inside your JD Edwards system. But data is just a series of ones and zeroes without the tools to turn it into information. How do you mine your data to obtain actionable insights in a timely manner? How do you make data available across your organization in a safe, governed way? And finally, how do you incorporate machine learning and predictive analytics to take your reporting and analysis to the next level?
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                    [post_content] => We co-hosted a webinar with GSI which had an outstanding attendance. There were many excellent questions and we were not able to provide answers to all of them during the webinar. Here is the Q&A transcript.

Q. Do you have models created for the JDE Configurator (System 32?)
A. We do not currently have JDE Configurator (System 32) as an out-of-box module with QuickLaunch. Once your requirements related to JDE Configurator are identified, we can provide feedback and proposal on the effort to include this or determine where this fits on the QuickLaunch development roadmap.

Q. What is the difference in the QuickLaunch software vs the out of the box Power BI?
A. QuickLaunch translates the JDE data so that your Power BI visualizations make sense. Without QuickLaunch you're left writing the glossary translation, your users have to know things like Table F0101 is actually the address book.
Here are some other key points:
  • Supports all the major JDE modules
  • Translates complex JDE aliases into business-friendly names
  • Dozens of pre-built reports & templates to deliver faster business insights
  • Integrated data governance including calculated measures and KPI's
  • Easily solves complex calculations such as aging and calendar-based events
  • Integrate other data sources with your JDE data
  • Simple deployment options-on premise, cloud or hybrid hosting
Q. Has Microsoft Power BI replaced the Business Objects BI software that was used few years back? A. Short answer yes, in many companies. Power BI is a new classification of BI software that Gartner calls modern BI. The difference being that traditionally IT would use a tool like BusinessObjects to create reports upon request from the business, modern BI tools are designed to hide the complexity of these legacy tools to help business users gain the insights themselves without relying on IT. This not only shortens the time to value, it alleviates a constant interrupt driven operational process in IT. Q. Can you please talk about the pricing of the tool and also if all of the JDE data is accessed real-time? A. We offer various pricing options from subscription to perpetual license. The fees structure changes by the number of JDE modules being used with QuickLaunch and the connection method to your data (Direct Connect, Operational Data Store, Data Warehouse). We support 14 modules of JD Edwards out-of-box with QuickLaunch, so we are not pulling all JDE data into QuickLaunch, however, any data required for reporting and analytics with QuickLaunch can be added very quickly. Typically, customers will refresh their QuickLaunch Analysis Services Tabular Model/Cube on an hourly schedule, however, we have alternative ways customers can update it within a matter of minutes and be executed on demand, i.e. the Controller in month-end close can kick off a financial refresh of data and have JDE GL information loaded in the data model within a couple minutes. Our QuickLaunch Enterprise Data Warehouse (EDW) is updated within 5-10 minutes of JDE transaction data and we are currently rolling out a Direct Query Tabular Model over the EDW so once data is in EDW it can be read directly by Power BI. Q. What versions of JDE are supported? A. We support all versions of JD Edwards World and EnterpriseOne Q. Can cube data be combined with other independent data-files within Power BI? A. Yes, data can be imported into a Power BI report from a Tabular Data Model/Cube and related to other data sources. If a Power BI report is developed from a Tabular Cube in a "direct live" option, then it cannot be related to other data sources. Q. What needs to be done to publish a dashboard within Sharepoint to make sure everyone can access/see the visuals? A. QuickLaunch customers typically share Power BI reports via the Power BI Service (in the cloud) or on premise with the Power BI Report Server but if you want some information regarding Power BI with SharePoint, the information below may help, as well as looking at sharepoint permissions management. The way the feature works is simple. Follow the process below to use this feature. 1) Publish your Power BI report to your Power BI account 2) Get the URL to the report 3) Add the Power BI (preview) web part to your SharePoint Online page 4) Paste the URL of the report when prompted 5) To finish, save and publish your page! Some other URL's to explore are below as well. https://www.sharepointeurope.com/integrate-power-bi-reports-in-sharepoint-online/ https://www.axioworks.com/2018/02/using-power-bi-with-sharepoint-data-the-ultimate-guide/ Q. Is there a limit to the number of columns and rows in a table/ visualization and number of filters on one report? A. None. Bring it on! Q. The templates for security module are included ? A. We do not have a module specifically for JDE Security, but we do configure our Tabular Model to reflect JD Edwards row security when that is required by the customer. Since we are already connecting to the JDE security tables it would be an easy addition if a customer would like to build reports over the JDE Security information. Q. How do you handle fields that have been repurposed or User Reserved Fields as well? A. Part of the QuickLaunch out-of-box configuration includes the renaming of JD Edwards Category Codes so if your BU Code 01 is Region, it will be labeled as Region instead of BU Code 01 or MCRP01. We also support Custom Tables, Tag Files, and other data outside JDE can be added to a QuickLaunch data model. Q. Which version of PowerBI it used? what is architectural schema/ requirements for deployment? A. Microsoft has an aggressive upgrade program with Power BI and we ensure that QuickLaunch works with each version. There are a number of ways to deploy QuickLaunch with PowerBI and this is dependent on your on-prem verses cloud deployment decisions. We work equally well in either environment or a hybrid which is becoming more common today, whereby JDE data is still operationalized on premises and data for Analytics, reporting and data science is mirrored on to a data lake or a cloud based data warehouse. Power BI in itself (Power BI Desktop and Cloud Service) doesn't have many requirements to get going other than setting up a Gateway connection to connect your reports in the cloud to your data on-premise, but to implement Power BI as and Enterprise solution we recommend using our SQL Server Analysis Services (SSAS) Tabular Mode to manage datasets on a BI server which becomes the governed source of truth for Power BI. There are some differences between SQL Server Enterprise and Standard Edition (Perspectives, Partitioning, and Instance sizes, etc.). Our QuickLaunch SSAS Data Model utilizes best practices and is the most optimized and affordable way to get Power BI running over JDE. Q. How do you implement near real-time updates for your data warehouse product? A. If you are running JD Edwards on SQL Server, we have developed QuickLaunch SQL Server Integration Services (SSIS) ETL Packages using incremental methodologies (Native CDC or Change Tracking) which run every 5 minutes or so to extract data from the JDE SQL DB transaction logs and update the changes in the EDW. Typically our EDW runs around with about a 10 minute lag behind JDE data. If you are running JD Edwards on iSeries or Oracle, we use third party replication software to mirror JDE data into an Operational Data Store (ODS) on SQL Server ever few minutes and then we run our QuickLaunch SQL (ODS) to SQL (EDW) SSIS ETL scripts to update the EDW. If you are unfamiliar with the role of SQL, you can look at blog posts from Timescale that delve into this area and can provide more background. Q. We have a number of custom tables in our instance of JDE, can QuickLaunch support those? A. Yes, we support custom tables. We can add them as part of the initial rollout, but we also provide knowledge transfer to you so you can do it yourself in the future as well. Once the Custom Tables are added to the model and related properly to the other data in the model, it will be exposed to PowerBI for Analytics and Reporting. Q. How do I know the data I am using with QuickLaunch is trusted? A. Great question and critical for deploying a self-service data environment. If IT is not preparing the reports, there may be natural skepticism around the results a business user is generating and displaying with PowerBI. This is where QuickLaunch can help, by connecting to your source JDE data and translating the obscure table and field terms into comprehensible business glossaries, this will provide the assurance that the right data is being selected for analysis. Other complex calculations such as KPI's and measures, calendering, calculated values are all handled by QuickLaunch leaving nothing to chance or interpretation. When asked "where did you get this data?" the response is QuickLaunch on JDE so it is considered trusted by IT and across the org. We also document the lineage of each field in the Data Model back the source JDE field so people know where the data has originated from. Q. Are we going to get a copy of the slides or do we need to screenshot each slide...? A. Please find a link to the slides here [post_title] => How to Build JDE Dashboards in Minutes – and Get Noticed! Webinar Q&A [post_excerpt] => We co-hosted a webinar with GSI which had an outstanding attendance. There were many excellent questions and we were not able to provide answers to all of them during the webinar. Below is the Q&A transcript. [post_status] => publish [comment_status] => closed [ping_status] => open [post_password] => [post_name] => how-to-build-jde-dashboards-in-minutes-and-get-noticed-webinar-qa [to_ping] => [pinged] => [post_modified] => 2021-06-18 22:51:38 [post_modified_gmt] => 2021-06-18 22:51:38 [post_content_filtered] => [post_parent] => 0 [guid] => https://prefstdev.wpengine.com/?p=3501 [menu_order] => 16 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [3] => WP_Post Object ( [ID] => 4003 [post_author] => 6 [post_date] => 2018-11-15 23:36:40 [post_date_gmt] => 2018-11-16 07:36:40 [post_content] => We conducted a survey of JD Edwards users with a focus on their respective reporting and analytics environments. Access this whitepaper to see a summary of our survey results and conclusions. [post_title] => JD Edwards Reporting & Analytics Survey Highlights [post_excerpt] => We conducted a survey of JD Edwards users with a focus on their respective reporting and analytics environments. Access this whitepaper to see a summary of our survey results and conclusions. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => jd-edwards-reporting-analytics-survey-highlights [to_ping] => [pinged] => [post_modified] => 2022-10-21 16:39:26 [post_modified_gmt] => 2022-10-21 23:39:26 [post_content_filtered] => [post_parent] => 0 [guid] => https://prefstdev.wpengine.com/?post_type=resource&p=4003 [menu_order] => 63 [post_type] => resource [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 709 [post_author] => 2 [post_date] => 2018-11-12 22:23:14 [post_date_gmt] => 2018-11-13 06:23:14 [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

    1. 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.
    2. 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.
  1. 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.
  2. 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.
  3. 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 QuickLaunch Analytics 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. [post_status] => publish [comment_status] => closed [ping_status] => open [post_password] => [post_name] => five-criteria-for-selecting-a-self-service-reporting-analytics-solution-for-jd-edwards [to_ping] => [pinged] => [post_modified] => 2022-12-12 13:56:27 [post_modified_gmt] => 2022-12-12 21:56:27 [post_content_filtered] => [post_parent] => 0 [guid] => https://prefstdev.wpengine.com/?p=709 [menu_order] => 20 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 3490 [post_author] => 2 [post_date] => 2018-10-08 20:41:33 [post_date_gmt] => 2018-10-09 04:41:33 [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 QuickLaunch Analytics 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 QuickLaunch Analytics 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. QuickLaunch Analytics 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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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. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => white-paper-governance-securityin-a-self-service-data-environment [to_ping] => [pinged] => [post_modified] => 2022-10-21 16:40:41 [post_modified_gmt] => 2022-10-21 23:40:41 [post_content_filtered] => [post_parent] => 0 [guid] => https://prefstdev.wpengine.com/?post_type=resource&p=3883 [menu_order] => 58 [post_type] => resource [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 9 [current_post] => -1 [before_loop] => 1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 4947 [post_author] => 6 [post_date] => 2019-01-28 04:59:50 [post_date_gmt] => 2019-01-28 04:59:50 [post_content] => [post_title] => Take IT out of JDE Reporting With Self-Service Analytics [post_excerpt] => QuickLaunch Analytics QuickLaunch™ is a packaged software accelerator designed to enable business users outside of IT to develop JD Edwards reports quickly using easily adopted, modern BI tools like Microsoft® Power BI, Tableau,® Qlik® and a host of others. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => take-it-out-of-jde-reporting-with-self-service-analytics [to_ping] => [pinged] => [post_modified] => 2021-06-30 19:38:15 [post_modified_gmt] => 2021-06-30 19:38:15 [post_content_filtered] => [post_parent] => 0 [guid] => https://prefstdev.wpengine.com/?post_type=resource&p=4947 [menu_order] => 52 [post_type] => resource [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 125 [max_num_pages] => 14 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => [is_tax] => [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => 1 [is_privacy_policy] => [is_404] => [is_embed] => [is_paged] => 1 [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_favicon] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => e188ab3936ca5dc3a464714d7baddc9f [query_vars_changed:WP_Query:private] => [thumbnails_cached] => [allow_query_attachment_by_filename:protected] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) [query_cache_key:WP_Query:private] => wp_query:aae7ed2c80d5e462fc4e790b734e0561:0.48257400 1760469825 )
Product Literature

Take IT out of JDE Reporting With Self-Service Analytics

January 28, 2019
QuickLaunch Analytics QuickLaunch™ is a packaged software accelerator designed to enable business users...
Read More >
Webinar

Becoming Data Driven with Modern BI Technologies

December 18, 2018
There’s a goldmine of data inside your JD Edwards system. But data is...
Read More >
Blog

How to Build JDE Dashboards in Minutes – and Get Noticed! Webinar Q&A

December 11, 2018
We co-hosted a webinar with GSI which had an outstanding attendance. There were...
Read More >
Whitepaper

JD Edwards Reporting & Analytics Survey Highlights

November 15, 2018
We conducted a survey of JD Edwards users with a focus on their...
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Blog

Five Criteria for Selecting a Self-Service Reporting & Analytics Solution for JD Edwards

November 12, 2018
When selecting a reporting and analytics solution there are several criteria and factors...
Read More >
Blog

You Can Handle The Truth!

October 8, 2018
Contrary to the opinion of Colonel Nathan Jessup, portrayed by Jack Nicholson in...
Read More >
Webinar

Machine Learning with JDE Data

October 1, 2018
See how analytics tools like Microsoft® Power BI incorporate built-in machine learning capabilities...
Read More >
Webinar

The Clif Bar Journey with Data

October 1, 2018
Learn how Clif Bar implemented QuickLaunch Analytics QuickLaunch for Microsoft® Power BI to...
Read More >
Whitepaper

Governance & Security
in a Self-Service Data Environment

October 1, 2018
Business user self-service access to JDE data for reporting and analysis promises faster...
Read More >