AdvancedMiner vs. Lotame

It can be time-consuming and expensive to visualize data in multi-cloud and on-premise applications. I would recommend my colleagues try this solution in order to collect, model, and visualize data automatically.

Incentivized

Well suited for advertising business. Has a lot of links to all relevant technologies. It is also a great platform if you want to buy or sell data and look for quality here. But you need a team which knows how to handle data. Less appropriate when you expect a fully managed service.

Incentivized

• Different model integration, more so the external database analytical procedures.
• Further, AdvancedMiner helps in developing various statistical options and models, for advanced analysis.
• AdvancedMiner makes the extraction and the mining of data, a proper solution for wide range performance.

Incentivized

• Its ability to show different affinities of audience segments
• Creating and customizing audience segments
• Great reporting features to help learn more about audience segments and media performance

Incentivized

• Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.

Incentivized

• So far we haven't encountered too many "needs improvement" pain points with Lotame - if we've had a problem so far it's been more a matter of needing to learn that particular action than any fault of Lotame.

Incentivized

Lotame has been an excellent partner with MMP

Incentivized

AdvancedMiner creates proper data extraction mechanisms, where storage procedures are also outlined and kept safe. Further, the statistical models are in proper work relationship with AdvancedMiner, which results in results that are accurate and authentic. Further, the complex database analysis from AdvancedMiner allows proper market evaluations and outstanding actionable insights.

Incentivized

There are alternatives in the market - Visual DNA, Bluekai/Oracle/ Adobe Audience Manager, Krux. They all offer a similar offering, however, I prefer the easy UI which is very intuitive even for beginners to the DMP world.

• Self-service capabilities has enabled us to get rid of external data scientists.
• Workloads has reduced while saving time analyzing data automatically.
• We have increased time to value.

Incentivized

• Helped us increase data revenue via their unbranded exchange.
• Campaign and audience reporting is used to sales discussions to justify increased spend post trial campaigns.