Spend less time data wrangling and more time executing on your vision
With data pouring out of ad platforms, websites, ecommerce platforms and CRM applications, most digital marketing teams spend 80% of their data analysis resources wrangling their data for use, and less than 20% finding insights, especially as both the amount of data and the number of data sources increase. And without expertise in data engineering and data science, as well as deep, current knowledge of each data source and their associated nuances, you can’t get a full picture of customer journeys, attribution or actual return on digital marketing spend. It’s not enough to download your data and glue it together. conDati’s Transformation Engine goes far beyond simple data integration, by regularly and intelligently pulling data from each source, then transforming it into a unified time-series data model stored within a customer-specific data warehouse. This automation includes handling challenges that are unique to each data source such as aligning customized fields and implementations with other sources, navigating data quotas, handling retries from “socket timeouts” and “service unavailable”, and dealing with multiple APIs and schemas per source, to name just a few. conDati users see a current, performant, analysis-ready, integrated time-series data model.
Data from ALL Your Sources
conDati’s high-performance pre-built data pipelines are built for efficiency and combat the bottlenecks and latency commonly found in analytics processes. They are set up to ingest your marketing and sales data regularly and securely from all sources—ad, marketing automation, web analytics, CRM, ecommerce, .csv and more.
Ease of Implementation
conDati sets up data pipelines to ingest all required data from all sources daily. You can be up and running in a short amount of time, with very little effort and no data engineering expertise on your part.
conDati pulls data on a regular basis, intelligently backfilling standard and custom objects and fields, as needed and accessing the data via multiple APIs, as needed, to enable full data unification.
conDati data pipelines are built for reliable automated operation; leveraging self-healing connections and continuous handling of operational data-side extraction issues such as “service unavailable” retries.
Data-Science-Ready Data, All the Time
conDati’s unique Transformation Engine regularly and automatically wrangles incoming sales and marketing events ingested from many different data pipelines into a single, consistent time series database that is optimal for analytics and prediction. Data science teams can often spend 80% of their resources on this step alone.
conDati automates the error-prone process of transforming data into a single, consistent schema for analysis. Our long-term experience across a broad set of data sources delivers unification that “just works”.
conDati creates an integrated time series data model that is optimal for simple and advanced analytics. This includes sophisticated AI and machine learning for attribution, ad optimization, and predictions.
Data Operations Support
Since incoming data schemas can be subject to change, conDati’s SaaS delivery includes ongoing operation services and support to ensure consistent data flow, transformation fidelity and data warehouse integrity.
Say Goodbye to Data Wrangling
And hello to data automation. Now you have more time to execute your vision.