Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
Sage Intacct
Score 8.6 out of 10
N/A
Sage Intacct is a cloud ERP system targeted at high-growth small and medium-sized businesses. Intacct includes applications for core financials and accounting, purchasing, order management, and financial reporting and business intelligence. It also integrates with 3rd party software like Salesforce.
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
In my experience, Sage Intacct is perfect for clients with complex financial accounting needs, such as a company with multiple entities or large-scale operations. In my experience, individual short term rental owners who have one property and simple accounting needs typically benefit more from a smaller scale accounting platform, such as Quickbooks.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Sage Intacct is continuously evolving and increasing it's functionalities. I am excited to attend conferences to learn what is in the roadmap for future releases. Additionally, using Sage Intacct allows me grow as a professional, I am really enjoy the knowledge that I have within the product to be able to share my experiences.
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
The ease of use as a seasoned user is wonderful; however, new users struggle to adapt to the program efficiently. Better training videos--all in one location--would be beneficial. The use of a "sandbox" environment is a great tool for new employees or for the fiscal department to test certain journal entries or other transactions to verify accuracy of data.
There has only been one occurrence where Sage Intacct was not available to me, however I had already been working a number of hours trying to get a project completed. It honestly allowed me to step back and take a much needed break.
As fas as integration is concerned I don't feel this slows Sage Intacct down at all. However, sometimes I do feel it takes some larger reports more time to load due to all the detail. As well as, I "move very fast" in my motions so sometimes I double click on fuctions too quickly and the system seems to think that I have a duplicate request.
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
Only a few times have we had to reach out to support, and every time we did, we received a relatively quick response and a solution was found fairly quickly. Only once was there an issue that took longer than a week to resolve, but it still did eventually get solved.
I have taken in person training classes at several of the annual Sage Intacct user conferences. It is very interactive and the trainers are very easy to follow and understand. They are great at getting everyone in the class involved. They also make sure everyone has learned to task before moving to a new one.
The free training is very minimal. For what we pay for the service, I would like more training. We end up training new users in-house because the provided free training is not nearly comprehensive enough. That being said, the training provided, for the material covered, was adequate and relevant for the given topics.
I would not use a thrid party administrator to implement your system, especially if you are going to be modifying the system at all. Use Intacct implementors as they will be able to better support you on any issues that come up after you go live.
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Sage Intacct is an upgrade from Sage 50 in most areas. Sage 50 became quite slow and crashed quite often, whereas Sage Intacct is much quicker. However, now we have thousands of transactions the imports have started to take a while. For example AR receipts imports can take up to 15 minutes if they are a couple thousand lines, but still quicker than Sage 50.
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
