ConnectWise PSA vs. Plotly Dash vs. Spotfire

BrightGauge lets us know when we have critical issues that need solving. A massive influx of tickets all at the same time triggers an investigation. Usually, it is tied to a server going down, which we can address. It would not be helpful for a small MSP or IT department with just a few daily tickets. The stats are better used to track a large amount of clients.

Incentivized

Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.

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A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.

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• Tickets- Customers can email and a ticket is generated and falls under their profile for historical records. You can save documents and select if they are customer facing or only internal facing. The option as well to have communication in tickets whether its internal facing or customer facing is nice to have when you're trying to keep a record or important details for just internal means and the customer doesn't have to see all the jargon.
• Procurement - It's great to have this integrate with Quosal Sell. Quotes being processed into opportunities and then into a sales order which connects to a ticket or project is pretty easy to use. It does have a learning curve but once you get the hang of it, it's straightforward. Everything is pretty connected, whether keeping track of products customers have purchased historically through us, to knowing what ticket is associated to an RMA.

• Powerful visualization options.
• Ability to create in-browser interactive visualization apps.
• Ability to create hosted apps.
• Allows you to develop web-based reporting applications without requiring web application development expertise.

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• It has the best coding integration (python, R) of any BI product
• The ability to work with very large datasets (10 mil+) is better than competitors
• Export options are more complete and have better functionality
• The data canvas is the best tool to join and transform data vs. competitors

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• Annual or more than annualized data is desperately needed for MSPs to show trends, current limitation is previous 240 days for ConnectWise tickets
• Alerts when datasets do not sync properly, I have to rely on my team to notice vs get an automated alert from BrightGauge
• Small thing, but it would be nice to have more options on the report scheduler to enable a start date. If you wish to do it quarterly, you have to start the schedule exactly 3 months from the next run.

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• Would be good if Dashboard Engine was included in the Enterprise VPC plan
• Would love to see ready made fintech apps

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• The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
• Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
• Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column

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ConnectWise has uniquely positioned themselves with the Modern Office Suite to have direct integration with a nearly full suite of tools for MSPs. Although each tool may not necessarily be the absolute best tool on the market, the efficiencies leveraged through direct integration make the entire suite an obvious choice for most companies.

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-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.

I have been using ConnectWise since 2004 and I am impressed with the progress they have made. However, there are still bugs that don't work quite like they should. If I were to run reports and get consistent answers along with a couple other annoyances, then I would score CW as a 10

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Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.

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We use the cloud version of ConnectWise and in the last 5 years it has never been down for us during business hours. I can only recall 1 time when it was not available during off hours when we wanted to use it.

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Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.

Some tab for certain areas load speeds could be better. Dashboards can load slowly when they reference multiple reports. Some reports can load slowly based on the tables and views they are accessing. At times the SQL queries being performed in the background can actually timeout and a tab or screen will fail to load.

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Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.

The front line support techs are wildly inconsistent when it comes to the level of support. Sometimes you get someone who just wants to throw links to University documentation at you, sometimes you get someone who truly tries to understand your issue and confers with peers and managers to find an answer, and sometimes you get someone who just wants to create a ticket and escalate immediately. If you ask three different techs the same question you will probably get three different answers, one of them being, "That's not possible."

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Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.

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The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).

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We are a telecoms company. Whilst CW were very happy to sell us their product and tell us how good it is for telecoms. All the training material is geared towards IT MSP's. The on-line training material was virtually useless. We found the implementation a bit of a joke. They tried telling us 12 hours of implementation time would be sufficient to launch the product. We erred on the side of caution and paid for 24 hours. This was quickly eaten away and we were nowhere near ready to go-live. I find the on-line chat facility is of much more use for us.

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The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)

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Rather than letting them sell you a block of time for implementation, create a list of things that must be completed do declare the implementation complete. The implementer will have the discretion on what they set up and in what order. They will be trying to end their services in as little time as possible and may not get things set up right. You are best advised to hire a third-party wizard that has done many of these setups. Record the audio and video of all of your implementation sessions.

Incentivized

The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:

• Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
• Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
• Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
• ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
• This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.

Everyone but dynamics had holes in it. Dynamics is good, but it requires more development time. I spoke with some people that have CW and liked it. But when I inquired after our frustrations, I discovered they had a full time scheduling & logistics CW manager and the field people were using it purely like any other more simplistic ticket system. They said it would be impossible otherwise. The one big difference is the transparency of the sales effort. The other sales people were honest on the limitations or potential challenges and worked with us. They also worked with our agenda. At CW they don't have that option. The consulting time is eaten through a pre-formatted agenda which they communicate too you, not with you.

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Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.

ConnectWise seems to have a good understanding of the IT service industry. During the required onboarding training, they even preach configuring only features that you need right now, as you can always scale up later. The feature set for the most part takes into considerations all aspects of an IT business, whether small or enterprise, or growing from one to the next.

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In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,

Incentivized

• The positive impact is no one has to return to the office to look at notes - they can look up the support ticket on their laptop, tablet, or phone.
• The positive impact on ROI is keeping all of your support tickets organized in one spot and multiple techs can update them.
• The positive impact on ROI is that you have happier customers as you can update the support tickets no matter where you are at

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• A no-cost option as it is open sourced.

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• It is costly, so not suitable for small scale implementations.
• Dashboards are as good as the developer, so need experience to get most out of it
• You need to be on Spotfire 11 at least to implement out of the box visualizations
• Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
• performance is exceptionally well.
• Secure

Incentivized