Ten years ago, enterprises with low customer satisfaction scores performed just as well as everybody else. But in today’s experience economy, those same companies grow at half the rate of their peers – while enterprises with above average customer satisfaction outperform the market by 4X.
At ActionIQ, we built a customer data platform to help enterprise brands master this customer-centric revolution. We enable brands like Morgan Stanley, The New York Times, Pandora Media, and Albertsons to connect all of their customer data assets, gain deep customer insights and orchestrate engagement across every channel – all from within a single “smart hub” that elevates the tools, people and processes driving your customer experiences.
Unlike other approaches to customer experience management, ActionIQ’s smart hub CDP enables teams across the organization to work off a shared customer understanding that’s built from every source of customer data and capable of impacting every touchpoint in the customer experience spectrum.
Alexei N.
Advanced user of ActionIQ
★★★★★
AIQ offers a frictionless and intuitive integration pattern for Data Engineers
What do you like best?
From the Data Engineering perspective our company was able to load millions of customer records into Action IQ from a variety of structured and semi-structured data sources in a matter of days. Prior to using AIQ, we had various data silos sitting across our Postgres, Hive and S3 data lake stores and each silo had its own access and integration patterns. AIQ provided a platform with which we could simply and intuitively integrate data from all of these various services. We simply pulled Parquet file snapshots from each of the sources on a daily basis into a shared S3 location and let AIQ do the rest. Since the data ingestion process into AIQ is mostly the same for each disparate data source, we wrote a simple ETL job in PySpark and were able to reuse the same script for all 5 of our distinct data sources.
What do you dislike?
It was easy enough to pass data (in Parquet format) over to a shared S3 location for AIQ to pick up but, we lost some visibility into the general CDP integration process after this data was passed over. We needed some assistance initially from the AIQ engineering team to verify that the data we were sending over was being joined and upserted in their platform as expected. The AIQ engineers who assisted us were very knowledgeable about the inner workings of their integration platform and the data verification process (from our load to their ingest) went pretty smoothly after the initial round of technical debriefing.
What problems are you solving with the product? What benefits have you realized?
Action IQ offered us a single platform to collect millions of customer records from several of our siloed data sources and to combine those records in a meaningful and actionable way (from the marketing perspective). It would have taken our company several years to create an AIQ-type platform of our own so, letting a proven CDP vendor do that work for us made a lot of sense. After setting up the initial pipeline of batch loads from our data stores into AIQ's shared ingest location, I haven't had to do any work to maintain or alter those pipelines. As a result of this frictionless integration, I now have more time to work on challenging and value-driven data engineering problems that don't involve the automated transfer of customer data to a third party vendor.
Review source: G2.com
