Adobe Campaign vs. Spotfire

Multi-Channel Campaign Management: I have found Adobe Campaign to be excellent for managing campaigns across multiple channels, including email, mobile, social media, and web. Its centralized platform allows me to plan, execute, and track campaigns effectively, making it ideal for organizations with diverse marketing channels. For example, when I was running a campaign to promote a new product launch across email, SMS, and social media channels, Adobe Campaign provided me with the tools to orchestrate and track the campaign seamlessly. I could ensure consistent messaging and a cohesive customer experience across different channels.

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.

Incentivized

• It allows me to capture leads through various sources, such as website forms or landing pages.
• It offers a centralized repository where I can securely store and manage customer data, encompassing contact information, preferences, transaction records, and additional relevant data.
• It provides robust analytics and reporting capabilities.

• 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

Incentivized

• Adobe Campaign does not have a high enough sales intelligence to let us know which landing page format would be the most optimal for the proper development of our mass marketing operations, which in the long run would also help with customer collection.
• Does not directly track the number of people who enter our website, beyond sending them automated messages depending on whether they entered a certain section of the site. This problem is important, because it does not allow us to get complete tracking results in that area.
• The platform does not do social media marketing extensively enough to let us create dynamic evaluations on the results of interactions that are obtained within social networks, which creates a huge margin of error in our analytical results messages, and so we have stopped applying social marketing.

Incentivized

• 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

Incentivized

Once you go for Neolane you are a bit stuck with it, so we will most likely stay with Neolane. Cost of investment and training are the main factors at work here. We havesimply have invested too much in the product to stop using it after 2 years. That said, my score of 8 does not imply that the product is worthy of getting an 8 but reflects our willingness to renew. Given that upgrading to a new version will cost again a substantial sum, we most likely will keep using the current version we are on which is 6X.

-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.

Thanks to this tool we are taking more internal control of the creation and deployment of campaigns with less dependency on an ESP. We can pre-program marketing publications, being able to concentrate on the target audience. It helps me manage email campaigns with real-time tracking.

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.

Incentivized

Aside from frequent error prompts, the program is quite dependable

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.

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.

Although there is a lot of material available on the internet to answer questions, I still feel a lack of commitment and delay in the responses of the support, but as a whole, it leaves nothing to be desired. I believe that, in the great majority, companies sin in the desired support, but we cannot generalize. But this one, in particular, has a wide range of specialists and well-qualified management, but I believe that it is not so bad.

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.

Incentivized

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).

Incentivized

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.)

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.

As we tried to centralise the marketing automation platform within the enterprise, Adobe Campaign can plug into several instances of Salesforce.com for lead management queues. All other marketing automation platforms can only plug into one instance of Salesforce.com. Adobe Campaign was also able to handle the complexity and challenges of our enterprise data which are a result of years of legacy, mergers and acquisitions and data aggregation.

Incentivized

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.

Not everything was great at all times. It was handled accordingly, pricing was reasonable for what was purchased. It was the best value on the market at the time of purchase.

Incentivized

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

• Talking about profits can be subjective if you don't take into account the periodic variations between net and gross profit margins, but fortunately with Adobe Campaign, it is easy to notice these differences quickly.
• Results have always seemed relative to us, as they vary greatly depending on how much is invested.

Incentivized

• 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