What is Data Analytics
Iterate on Marketing Systems
From Basic Functionality to Advanced Targeting and Analysis
What is Data Analytics
Data analytics is the process of examining raw data to uncover patterns, trends, and insights required to make informed decisions. Typically our clients are “software enabled” and are generating more information than could ever be organized or crunched with spreadsheets - software, cerebral design, and advanced methods are required. Data analytics work begins with raw information collection and reporting, and in its fully-fledged state is a key shaper of strategic roadmaps across all departments
Read More:
Data Analytics - What is it?What is Data Infrastructure
Data infrastructure is the tools and systems that allow organizations to collect, store, manage, process, access, and serve data. Plug-and-play data infrastructure vendors have multiplied in recent years, but specialist engineers are still required for more advanced/custom requirements, complex vendor implementation, and bridging gaps with SWE.
Read More:
Data InfrastructureWhat is AI
What is AI
What is AI
AI (Artificial Intelligence) is a technology that enables machines to mimic human intelligence, allowing them to perform tasks like understanding language, recognizing images, or making decisions. Machine Learning is an older but more mature subset of AI - when its capabilities are sufficient for a problem, ML is more straightforward, definite, quick to develop, and supported by tools/vendors/automations.
Read More:
Practical AIGet Base Systems Working Correctly
Sometimes getting the basics working can be a bit involved, especially if you have a home-built platform.
Enriched Personas and Personalized Targeting
Craft personas and categorize targets using every bit of information possible. Identify high-value targets. Improve pre and post-purchase CRM through customization.
Tune Nuanced CPA Limits
Analyze internal historical data to determine different limits for different groups and markets. Get even more granular on certain channels.
Improve multi-touch
understanding
Techniques employed here can range from advanced mathematical methods to methodical hypertargeting.
Case Study:
Incline3
Dandy Data went from 0->35 in 1.5 years, though most client teams follow a more modulated trajectory...
Read MoreCase Study:
Incline2
Flatiron has a number of partnership models, including fully embedding our teams into a company or seeding the company’s data team...
Read MoreCase Study:
Incline
We’ve built industry-leading functions from scratch at top-tier unicorns (Ro, Dandy) in record time...
Read More