An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Disjointed User Experience

A lack of customization and functionality prevents your users from being able to see their data how they want to. Few dashboards are expected to serve the needs of many and the reporting doesn’t stand up to your dashboards.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Roadmap Disruption

Developer teams are expected to source and build features on a tight timeline. Keeping up with user demand for analytical functionality eats up time and money, taking resources away from core app features and amassing technical debt that stalls the product roadmap.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Painful Connectivity

Disparate data sources hinder connectivity and components built on a security framework that requires duplication across different layers increases vulnerabilities and reduces control over user access.

Embedded analytics purpose-built for software teams

  • Get Total Customization
  • Champion Self Service
  • Connect to Your Tech Stack
  • Use Your Existing Security

Go Beyond Colors and Styles

Get unmatched customization to exceed the most specific or stringent analytics and reporting requirements. Seamlessly integrate and extend functionality without clunky iFrames.

Provide Self- service As Unique As Your Users

Every user is different. Tailor analytics features to their specific skill levels or roles. Inspire your users to generate their own actionable insights.

Leverage Your Current Data and Server Infrastructure

Avoid heavy data modelling and duplicate costs by connecting directly to data sources and your existing hardware. Explore massive data sets with out-of-the-box connectivity.

Avoid Redundant Security Measures

Provide frictionless authentication that aligns with your current security model and maintain precise control over end-user access and governance.

Logi Composer

Completely Customizable, Low-code Dashboard and Data Visualization Platform

Logi Composer allows you to easily build and customize analytics by transforming data from the sources you already have into visualizations that seamlessly embed into your app.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Logi Report

Pixel-perfect Reporting for Data Analysis and Insight

Logi Report enables you to generate and distribute precise reports at scale without coding or leaving the app.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Logi Info

A Robust SaaS Analytics Application for Endless Possibilities

Logi Info is a full data analytics platform that gives you the freedom to build your own BI application your way.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

Logi Symphony

A Future-proof Analytics Investment

Logi Symphony gives you access to Logi Info, Logi Composer, and Logi Report so that you never have to compromise your application’s innovation.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

The difference is night and day. You couldn't pay me to go back before Logi.

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An analysis of favorable and unfavorable price variances would be an example of _______ analytics.
An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

An analysis of favorable and unfavorable price variances would be an example of _______ analytics.

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What is descriptive analysis business analytics?

Descriptive analytics is the process of parsing historical data to better understand the changes that have occurred in a business. Using a range of historic data and benchmarking, decision-makers obtain a holistic view of performance and trends on which to base business strategy.

What are the Type of analytics?

4 Key Types of Data Analytics.
Descriptive Analytics. Descriptive analytics is the simplest type of analytics and the foundation the other types are built on. ... .
Diagnostic Analytics. Diagnostic analytics addresses the next logical question, “Why did this happen?” ... .
Predictive Analytics. ... .
Prescriptive Analytics..

What comes after predictive analytics?

There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.

Which of the following is an example of the use of predictive analytics?

One of the best examples of predictive analytics in business is the recommendation list on Amazon's website. It uses the data of customer behaviour and past transactions to determine which products will most likely result in a sale.