Atlassian Strategy Collection, with Align vs. Salesforce CRM Analytics vs. Tableau Desktop

The Atlassian Jira Align (formerly AgileCraft) tools help keep our scrum teams moving in the right direction. It gives Sr. Executives visibility into the progress of our digital transformation efforts. It provides information to our program manager to create the necessary artifacts to justify continued funding of our initiatives. It also supports the SAFe framework, along with some others. And the Atlassian Jira Align (formerly AgileCraft) tools provide integration to other tools that we use in our portfolio.

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For us it really comes down to that book management and next best contact for our advisors. When we're thinking about a book of business that may range, depending on the advisor, from 400 clients to a thousand clients, how do they really optimize their time? Who do they call next? Who do they work with to make sure not only they're keeping those clients engaged, they're not leaving the firm going to other advisors who they haven't talked to in a while who might need their attention. That's really where that CRM analytics is really proven pretty powerful for us.

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The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• Effective Sprint planning : Sprint planning can be done using Planning Poker in AgileCraft by clicking Team > Manage > Other > Estimation Games very effectively for distributed teams.
• Team Capacity Allocation Report: After tasks are created at team or program level, the report from AgileCraft cab be pulled and can be verified that no team member is under or over allocated. A report can be generated by navigating to Team > Manage > Assign Tasks.
• Effective Requirement trace-ability: To maintain requirements trace-ability follow the steps below:
• Upload test cases against the story/requirement. once uploaded test cases will be visible under that story
• Execute Test cases in AgileCraft and mark them as Pass/Fail based on the actual outcome
• Based on test results, The acceptance criterion's can be marked as “Pass” or “Fail” & if marked failed corresponding defect can be logged & can be attached with the story
• So against each story we can easily see whether all test cases been executed or not & which acceptance criterion's are failed & how many defects are in open or close state.
• Daily Scrum: In AgileCraft, the option to run a daily stand-up is available from Team > Manage > Daily Standups. Selecting the sprint number opens the daily stand-up meeting window in which each team member's tasks are visible and hours can be burned against them. Conduct Scrum meetings in AgileCraft, and burn each associate hour against the tasks created during the meeting. The burn-down chart can be generated & viewed during the stand-up to check whether the team is on track.

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• Interactive Dashboards, it [consists] of wide variety of charts
• Data from different sources can be easily integrated with it
• Security, it provides easy way to secure and share the information with the users
• Support actions like opening hyperlink etc
• Almost everything can be done from configuration
• Data can easily be managed from dataflow.

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• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• The initial ticket creation screen lacks some important features, such as assigning "point values" (a measure of effort needed for the ticket).
• The browser needs to be manually refreshed to see new tickets, which can make things confusing when several people in a meeting are simultaneously creating tickets.
• The interface on some smaller portions of the software are sometimes difficult to understand.

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• Implementation takes time and resources. It is a heavy lift to implement and at first, it can take a little bit of time to understand what you are looking at. But once it's implemented it's easy to get started.
• Without any BI expertise or resources available to your organization, the implementation of this is difficult. If you aren't used to BI tools and don't have an expert in house, the terminology can be difficult to understand at first.
• Their support is not on hand to help you if you encounter any issues, at least not on all the plans or the basic plans. Real-time support service is an add-on, so you'll need to be patient if you require help or pay extra money.
• More functionality for the tool is needed to compete with other heavyweights in the arena like Tableau, Qlik, and Microstrategy. Still lacks the robustness, functionality, and flexibility other competing products possess.

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• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

There is nothing that can be better than Jira but it needs to keep improving certain areas especially the attachment size area.

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Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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As I have mentioned, some older, less tech savvy, team members have not found it as intuitive. I found it the same when I started using it although it quickly made sense. I think this is because there are lots of features we do not use so this can get in the way of what we do use

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For someone who don't have coding background, this could be a useful tool and fairly easy to learn and use given the good support. However, if you know other open source tools, it would be much easier to use the other tools and the knowledge is more transferable in the future.

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Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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Overall support from Jira team is good. It comes at an additional price but it is very efficient. There are no long wait times, you get a dedicated team to look into your issues. The support is available throughout the year and they keep a record of your issues. Overall we are very satisfied with the support they have provided us over the years, it has been very effective for the price that we pay.

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I was not able to be in interaction much with Salesforce support team since every feature works the way it should be working. So far I have not experienced any bug or major glitches that would delay the result of my work and performance. There is also a hotline in our company for Salesforce issue but so far I have not used it.

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Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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An implementation partner would certainly result in greater output in a more efficient amount of time. However, I have found implementation partners to be extremely expensive for the output received (at least working for a non-profit company they are frequently unaffordable). Internal implementation does help with usable output though since internal knowledge would better know the data architecture and business processes

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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Microsoft Azure Devops won't have the major functionality of software management like Jira. The customization provided by Jira is having a cutting edge over any project management tool. Adds-on and Plugins feature in the Jira Tool make it as perfect as desired task management tool for any company. One of the best Agile based Project Management Tools.

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Tableau is the absolute top of the class when it comes to business intelligence, but it doesn't make sense for every business case. In our case, we needed a simple data visualization platform for our CRM platform and sales pipeline. Salesforce Analytics, while nowhere near as robust, did the job we needed it to do perfectly in a significantly more cost-effective manner.

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I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• It has positively impacted our tech teams, allowing them to better organize the tasks and items they are working on and has greatly improved their ability to communicate & review these tasks with other teams.
• I believe it negatively impacted other departments as lengthy training was required by many associates to attempt using the tool, only to find out it didn't meet our needs, therefore much time was wasted.

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• I would say it's been positive just because as a company, anyone that has access to it can go in there and pull any company information and we're very up to date then on all of our client base. So I would say it's been a very positive impact.

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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