Customer Experience Data Modelling Data Warehouse 
Timo Elliott
JANUARY 6, 2022
Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. Data sense-making. Storing data isn’t enough.
Tableau
DECEMBER 7, 2022
In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important. But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Tableau
DECEMBER 7, 2022
In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important. But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data.
Sisense
JANUARY 6, 2020
Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. In this blog, we share some ideas of how to best use data to manage sales pipelines and have access to the fundamental data models that enable this process.
Astera
JANUARY 25, 2024
Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.
Sisense
MAY 31, 2020
Add to that being acknowledged two years in a row as “Credibility Leader” and “Overall Customer Experience Leader,” let’s just say it was a pretty great day! Re-architecting Sisense into its current cloud-native form delivers even better connections to a cloud data warehouse, which almost every company is using or will use soon.
Astera
SEPTEMBER 1, 2023
The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.
Expert insights. Personalized for you.
338 
Let's personalize your content