G2M Platform vs. SAP Predictive Analytics

Creating impact analysis when there are multiple levels of categories for comparison, i.e., firmographics, geo, etc.

When you don't have much data science skills or when you need to build something quick, you can get started really fast with SAP Predictive Analytics. There are scenarios, like the ones covered by a neural network, where SAP Predictive Analytics is not well suited, but the big question is usually: "do you really need a neural network to address this use case?"

Incentivized

• Data Insights
• Machine Learning
• Drive Growth

• 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

Incentivized

• More Visuals
• Better Data Hygiene Features

• The "User Experience" is sometimes lacking some clear basic things. Maybe a migration to a cloud-based environment will help bridge that gap.
• API is probably the next item on my list. The existing one is not easy to access or use which limits the integration capabilities.

Incentivized

the UI is a bit dated and available as a desktop tool mostly.

Incentivized

The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)

Incentivized

Analyzr gives more transparency than the others tools we have used, allowing us to see the actual model and data insights instead of a black box approach. The tool is also more intuitive then others, allowing members with limited Python, R coding to create models.

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.

Incentivized

• Identified a 30% lift in certain Marketing Efforts, justifying the continuing spend here.
• Clustering allows us to target specific customers for upgrade, resulting in a top 10% to focus sales and marketing resources on.

• Proper forecasting increases our credibility with partners and customers
• Forecasting determines the amount of investment in each sector and reduces the cost of additional costs

Incentivized