Indicative

OCTOBER 23, 2020

A strong analytics stack is foundational to being able to make sense of it all. Investing in a robust and efficient analytics stack is a necessity for a modern business in order to compete. What Technology Do You Need in Your Stack? What Technology Do You Need in Your Stack? Data Tracking and Collection. Event Data.

Embedded Analytics 141

Embedded Analytics Analytic Tools Data Visualization Reporting Tools 141

Userpilot

AUGUST 16, 2023

How to promote data democratization in your SaaS business to improve decision-making ? Next, assess employee literacy by conducting self-assessment surveys , assessing their current work quality, and monitoring how they use analytics tools. The choice of tool stack should be based on staff data literacy and organizational needs.

Data Visualization 76

Data Visualization Analytic Tools Feedback Software Reporting Tools 76

Imaginary Cloud - Design

JANUARY 30, 2020

In 2017, Gartner introduced the concept augmented analytics in his Augmented Analytics is the Future of Data and Analytics report. In the last year, major companies in business intelligence (BI) digital solutions, such as Qlik and Tableau were already investing on it.

Data Visualization 103

Data Visualization Analytic Tools Research Software Feedback Software 103

The Product Coalition

APRIL 6, 2021

Key features of a modern agile analytics platform; how to truly democratize data and help biz users to create analytics at the “speed of thought” Hint: No IT-dependent centralized data-swamps No one in their right mind would think of filling out an IT ticket with requirements to make an Excel spreadsheet, right?

Data Visualization 109

Data Visualization Analytic Tools Customer Feedback Agile 109

Gainsight

JUNE 7, 2022

Customer Success (CS) teams are evolving into a primary growth driver for companies in all industries. Organizations are constantly innovating how their customer success managers operate. . They must find sophisticated, yet simple, solutions for their complex companies. Here are seven of the most important things we learned.

Data Visualization 52

Data Visualization Enterprise Customer Feedback Analytic Tools 52

ProductPlan

FEBRUARY 8, 2022

Inability to process and learn from the flood of customer feedback and data pouring in. While product management focuses on the customer, the product operations manager’s customer is the product team. Implementing or optimizing systems and processes. Implementing or Optimizing Systems and Processes.

Data Visualization 84

Data Visualization Reporting Tools Feedback Software Analytic Tools 84

TIBCO - Thought Leadership

APRIL 9, 2019

With the dramatic rise in the importance of AI and automation, digital business leaders are faced with a daunting challenge: they need to simultaneously become more insight-driven, more automated, and more agile. Innovative technology is the solution. How can organizations find the right balance? Streaming Business Intelligence.

Reporting Tools 51

Reporting Tools Analytic Tools Data Visualization Technical Review 51

Centercode

FEBRUARY 26, 2019

How about this one: imagine running a community of 1,000 active testers when your only beta testing tools are Excel and Outlook. That’s because when it comes to successful Customer Validation, your processes and tools go hand in hand. The beta testing tools you use can have a big impact on your efforts – and results.

Data Visualization 65

Data Visualization Feedback Software Analytic Tools Reporting Tools 65

PMLesson's Ace the PM Interview

APRIL 26, 2022

Careers in data science or analytics are some of the most in-demand jobs. Exponent Anthony Pellegrino Why Choose a Career in Data Science or Analytics? Leaders in data science also focus on helping to distill complex concepts to teammates or developing new processes to streamline the collection of customer information.

Data Visualization 52

Data Visualization Analytic Tools Reporting Tools Research Software 52

Amplitude

MAY 27, 2020

This is only one more step in a long journey, but one that could not have happened without the support and feedback from all of our customers and partners. The world has never before seen a shift in usage to digital products like what our customers are experiencing now. COVID-19 and the shift to digital.

Analytic Tools 59

Analytic Tools Feedback Software User Testing Data Visualization 59

PMLesson's Ace the PM Interview

MARCH 20, 2021

Their role, then, would entail collecting, modeling, analyzing, and presenting that data while building machine learning or predictive analytics models so that a company can have insight into the future. Simply put, data scientists work with other business stakeholders on how they can use data to best achieve the goals of a company.

Data Visualization 64

Data Visualization Artificial Inteligence Reporting Tools Analytic Tools 64