Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 40

Data Strategy Strategy Uncertainty Marketing 40

Jedox

MARCH 13, 2019

Performance tracking and reporting along with pipeline, opportunity, and customer analytics help sales teams become more effective in meeting growth targets and company objectives. Integrated Planning Across All Departments.

Sales 40

Sales Strategy Management Forecasting 40

IBM Big Data Hub

APRIL 15, 2024

These algorithms actively sift through the data to uncover hidden patterns, trends and correlations, providing valuable insights that enable advanced analytics to predict a range of outcomes. Design considerations for virtualized data platforms 1. This layer acts as a shield, hiding the complexities of data storage management.

Analytics 64

Analytics Optimization Data-driven Metrics 64

Sisense

AUGUST 19, 2021

Buying analytics instead of building them helps companies go to market faster, see ROI from analytics sooner, focus on their core competency, benefit from incremental improvements over time, and much more. It’s the way to go for organizations that are serious about delivering the best analytics experience to their users. >>>

ROI 98

ROI Cost-Benefit Marketing Testing 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. increase in customer lifetime value, 25.3%

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Sisense

MAY 4, 2021

April Barnoy, Sisense Associate VP, Customer Growth. Similarly, marketing teams’ data from their campaigns and analytics (advertising, nurture tracks, events, community activity, and more) is important for CSMs because it contributes to a holistic overview of customers. Check out the GitHub customer story.

Analytics 98

Analytics Data-driven Advertising Marketing 98

Sisense

MAY 27, 2021

In fact, the global market size for AI in retail is expected to reach a massive $23.32 consumers at the start of the pandemic, for example, caused out-of-stock issues that continued in supermarkets through the rest of the year, leading to nearly $3 billion in lost sales, according to market researcher NielsenIQ. billion by 2027!

Forecasting 52

Forecasting Sales Analytics Marketing 52

Cloudera

JANUARY 11, 2018

As their intelligence grows from the newly combined data, organizations can add insights to customer profiles, increasing their value exponentially. These enhanced profiles can improve real-time customer engagement, sharpen marketing campaigns, and support use of analytics to predict customers’ future behavior.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

IBM Big Data Hub

MAY 17, 2024

We’re moving away from the one-size-fits-all approach of traditional dashboards to more dynamic, customized analytics experiences. These tools are designed to guide users effortlessly from data discovery to actionable decision-making, enhancing their ability to act on insights with confidence.

Dashboards 78

Dashboards Business Intelligence Snapshot Interactive 78

DataRobot

DECEMBER 8, 2021

Organizations need to have a real-time understanding of customers’ needs and timely strategies for maximizing the value of their data. AI improves upon traditional analytical methods by better detecting and understanding the complexities and nuances of the data—from human behavior to finding signal in a sea of information overload.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 18, 2022

All users, regardless of skill set or job title, should adopt some level of fluency and comfort in creating and viewing data analysis and charts. Logi’s Director of Product Marketing, Suzanne Ryan recognizes that the overall importance of embedded BI remains in a range between “important” and “very important” to many organizations.

Analytics 52

Analytics Reporting Software Management 52