Improvado vs. SAP Data Intelligence

This solution helped us when we were stuck trying to explore data deeper and didn’t have enough resources to prepare data for further analysis. The software solves data integrity problems bringing more granularity to all insights. Integration with data visualization tools and well-arranged insights shows how each of the company’s marketing channels performs in real-time. Improvado is also useful for risk mitigation when launching or adjusting marketing strategies. It may also become a valuable tool for businesses, who are aiming at automation and the elimination of routine processes. ETL processes automation unleashes marketing analysts’ potential granting them more time for research of marketing reports.

If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

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• ETL processes. Once adjusted, Improvado never fails to streamline data from our advertisement platforms to the data warehouse.
• Variety of data sources. Improvado extracts data from over 200 sources, including both well-established platforms and the ones that are rapidly gaining momentum.
• Full-cycle support. Improvado provided us with a dedicated manager available 24/7. Any issues that arose during the product integration were settled in a matter of minutes.
• Flexibility and client-focused approach. After the integration, we adjusted our marketing campaign and needed new ad platforms to be integrated. The vendor allocated the development team ASAP to add new connectors to our existing network.
• Professional services package. The company doesn't provide dashboard views by default. However, we had no time to figure out how to do it ourselves, so we hired a team of Improvado's analysts that set everything up for us.

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

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• Improvado didn’t have all the integrations that we needed. However, they offered full coverage and quickly found ways to extract data from the sources we required.
• The user interface for BI tools may be confusing to inexperienced users. Personally, I didn't have any problems. However, some of the junior marketing specialists from my department needed more time to adapt to the UI. Otherwise, the interface is great.

• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

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Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

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I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.

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Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

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We chose Improvado for the following reasons:

• Their data transformation framework cleans, normalizes and prepares data for loading into our data visualization tool;
• We connected our CRM to our analytics tool and as ad account;
• Extensive social media reports - the marketing team can view our ads, posts, comments right from the dashboard.
• Scheduled reports and immediate data sync options help us to get the reports with the most accurate data at the time we need them;
• Google Ads auto-connect new ad accounts.

Our marketing team evaluated Funnel.io and has opted for Improvado because of the following drawbacks:

• With Funnel we’d have to set up an extraction process for each campaign and account manually;
• The more accounts you need to connect or integrations to use, the more you’ll pay;
• Limited data storage options;
• Complicated account export. We had to filter accounts to export through the custom filter rules.

One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

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• Increased ROI
• Improved cost of acquisition analysis
• Improved CPA, CPI, CPL report drawing process

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info