Smarten
AUGUST 10, 2023
Using analytics for planning and forecasting is a critical factor in success. Using analytics for planning and forecasting is a critical factor in success. There is good reason for this growth. Businesses are discovering the value of analytics in making confident decisions and avoiding mistakes and missteps.
Smarten
APRIL 28, 2023
Providing access to data and analytics while employees are in meeting, on the road or at a client location can keep the team on schedule for project milestones and for monthly, quarterly or annual schedules for budgeting, forecasting and other initiatives.
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Sisense
MARCH 7, 2021
Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. With a tool like Sisense, it changes the game altogether.”.
AWS Big Data
MAY 31, 2023
In this post, we discuss how we use QuickSight to deliver powerful HR analytics to over 3,000 customers and 43,000 users while forecasting savings of 84% year-over-year as compared to our legacy reporting solutions. The power of QuickSight lets our customers slice and dice the data in different ways.
Smarten
JUNE 10, 2022
Predictive Modeling to support business needs, forecast, and test theories. Users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere.
Jet Global
MARCH 2, 2021
In other words, they are designed to slice and dice very large datasets and to present the information in an intuitive, easily digestible way. Considering the recent volatility of the economic environment, planning and forecasting is becoming more important than ever before. Extending Yardi’s Capabilities.
IBM Big Data Hub
DECEMBER 7, 2023
Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis.
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