Denodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.
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Improvado
Score 9.0 out of 10
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Improvado is a marketing intelligence platform designed for medium to large enterprises and agencies. Improvado integrates, simplifies, governs, and attributes complex data from various sources, delivering a unified view of marketing ROI and performance.
Denodo allows us to create and combine new views to create a virtual repository and APIs without a single line of code. It is excellent because it can present connectors with a view format for downstream consumers by flattening a JSON file. Reading or connecting to various sources and displaying a tabular view is an excellent feature. The product's technical data catalog is well-organized.
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.
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.
Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
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.
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
