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. Real-time, cloud-based data ingestion and storage.

Chief Data Officer 333

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 333

Sisense

JANUARY 6, 2021

The result is a customer experience that meshes perfectly with the needs of Tessitura’s clients in the arts and culture marketplace, providing powerful and flexible data modeling presented and branded as Tessitura components with AI mechanics provided by Sisense under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

AUGUST 6, 2020

Improving customer experience and reducing cost in a single step sounds impossible, but this is exactly what correctly implemented AI can achieve. Usually, we have to spend more money to achieve a better customer experience, but AI simultaneously delivers greater accuracy and focus and reduces human capital cost.

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95

Sisense

JUNE 15, 2021

McKinsey surveyed over 200 CMOs and senior marketing executives, and the results showed that, as you might think, marketers who combine data and creative thinking drive more growth than those who don’t.

Vision 52

Vision Customer Experience Customer Experience Data Modelling 52

Insight Software

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

APRIL 12, 2024

By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions. This technology tackles the traditional data overload by integrating analytical tools directly within your users’ workflow. However, building this feature in-house wasn’t feasible.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Predictive Analytics 52