What users are saying about
Top Rated
41 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101
8 Ratings
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Score 6.7 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

SAP Predictive Analytics

It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
Josh Anderson profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
SAP Predictive Analytics
Visualization
Anaconda
7.0
SAP Predictive Analytics
Interactive Data Analysis
Anaconda
8.0
SAP Predictive Analytics

Data Preparation

Anaconda
7.0
SAP Predictive Analytics
Interactive Data Cleaning and Enrichment
Anaconda
7.0
SAP Predictive Analytics
Data Transformations
Anaconda
8.0
SAP Predictive Analytics
Data Encryption
Anaconda
6.0
SAP Predictive Analytics
Built-in Processors
Anaconda
7.0
SAP Predictive Analytics

Platform Data Modeling

Anaconda
5.7
SAP Predictive Analytics
Automated Machine Learning
Anaconda
4.0
SAP Predictive Analytics
Single platform for multiple model development
Anaconda
7.0
SAP Predictive Analytics
Self-Service Model Delivery
Anaconda
6.0
SAP Predictive Analytics

Model Deployment

Anaconda
4.5
SAP Predictive Analytics
Flexible Model Publishing Options
Anaconda
5.0
SAP Predictive Analytics
Security, Governance, and Cost Controls
Anaconda
4.0
SAP Predictive Analytics

Pros

  • Integration of the most popular and useful Python packages
  • Managing multiple execution environments
  • Management of package dependencies
Daniel Blazquez profile photo
  • Ability to use built-in algorithms or expand using R. This means that (with training) casual users can take advantage but also data analysts can do their thing!
  • Integration and consistency with Lumira. Even Lumira on its own has a quick 'predict' functionality (although limited/black box)
  • Ability to do the analysis and then present visually using the Lumira visualization capabilities
Josh Anderson profile photo

Cons

  • It's still a little buggy. Especially the launcher.
  • It's not always easy to set up. It's not exactly difficult: a Google search away for most things, but silly stuff like path names, installing custom fonts and colors. That kind of thing.
Ayush Choukse profile photo
  • It's extremely hard to get started. We even have a data scientist who, when we put Predictive Analytics in front of them, they could not intuitively create a data model and start analyzing. Even with deep knowledge of data analysis, the interface isn't intuitive and it's hard to get to the point of having imported a data set and start analyzing/predicting
  • Our platform team had confusion installing Predictive Analytics, particularly on the BI Platform. Additional complexity came when it came to using APL Libraries (AFL Wrapper or Stored Procedures)
  • We are still working on merging datasets. In theory, we get how to do it but we come across all sorts of issues which don't occur in Spotfire (missing records etc.)
Josh Anderson profile photo

Alternatives Considered

Simple story. I tried both. Canopy felt somehow unintuitive to use.
Alexander Lubyansky profile photo
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
Josh Anderson profile photo

Return on Investment

  • We save a lot of programming time, since all the add-ons are in the same environment.
  • Being multiplatform, Anaconda is perfect for work teams with many people, since it supports all operating systems.
  • The only negative thing that can happen is that at first, the way of working in Anaconda can be a bit confusing. Once passed the learning period, its daily use is very comfortable.
Alejandro Daniel Copati profile photo
  • It will potentially save time in forecast creation by giving an algorithm-derived forecast which can then be adjusted vs. starting from scratch. We can call this, a system enabled forecast
  • Thresholds can be created based on historical data to flag actuals as in/out of the 'norm', or to limit the scope of an investigation
  • We spent a lot of time so far and haven't got very far with it - it's been quite frustrating to use and a lot of time/money has been invested
Josh Anderson profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

SAP Predictive Analytics

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details