Madtrix - 2026 Pricing, Features, Reviews & Alternatives

How to improve data quality and get from gut feeling to data driven in 6 months

1. Connect fragmented data together from your applications

Connect and standardize data from applications across the customer journey.

Automated data collection and modeling saves money, time and resources. Centralized data provides one single point of truth across the customer journey for everyone, which is the backbone of data driven decision making.

Make your data and measurement future proof for the world where GDPR, new privacy policies, death of 3rd party cookies and platform changes like in IOS14 causes data deprecation and measuring performance needs a new approach.

2. Build a dashboard and provide access to data for business users

Dashboard that is connected to centralized data, provides some basic knowledge about activities and their efficiency like:

<li> How much was invested in marketing

<li> What is the frequency of activities

<li> How much traffic channels are driving to our website

<li> Number of conversions

<li> Sales

This is already a big improvement if activities weren’t measured at all or if the team members didn’t have access to the data. Unfortunately this is where most companies end their analytics, though this is where it should begin. The real value and ability to be fully data driven comes with serious improvement of data quality and tracking.

Madtrix provides AI enhanced self service analytics, that leads to faster insights, better decisions and enormous efficiency improvements. Everybody can find their own insights without the help of BI experts.

3. Improve data quality

Data driven decisions are all about data that is good enough for valuable insights. If your data is bad, even great analytics tools or algorithms can't turn it into gold. Most companies are basing their decisions on insufficient and even misleading data. Data needs to be produced and managed, data not something that just accidentally exists. Good decisions require that data is treated as an asset that increases business value and the quality and richness should be systematically improved over time.

According to Gartner every year, poor data quality costs organizations an average $12.9 million

Configuration of operational stack

With proper set up of the operational stack you can get insight to things like like:

<li> Customer journeys

<li> Cross channel performance measured outside of the ad platforms

<li> Cross/omni channel campaign performance

<li> Which content is contributing to conversions

<li> Path to revenue

<li> Path to loyalty

4. Define customer journeys and funnels

Funnels help to visualize at a high level how customers and money flow through your marketing, sales and customer operations, they also pinpoint areas where there are general problems with customer journey and experience. How customers experience your brand is directly linked to how much money they will spend on your products or services.

Mapping data to the combined marketing and sales funnel can be a real challenge. Doing it properly often requires configuration of the operational stack and the way campaigns are planned, because we need the activities to produce data that has enough data points connected together that they can tell a story.

5. Unlock the power of data science

The ability to use artificial intelligence and machine learning algorithms to the data can lead to huge efficiency gains, but it also requires that the data is managed properly and transformed into a form where those techniques can be applied.

Artificial intelligence is very good at finding hidden patterns from the data and delivers fast insights. With Madtrix AI driven analytics, teams can spend less time waiting for custom reports and easily uncover their own insights using consumer-grade analytics powered by search and AI.