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Why Business Leaders Need to Be Analytics Evangelists

Sisense

Data and analytics are proving more important to companies’ strategies than ever before, according to a survey by Harvard Business Review Analytic Services. However, many organizations still fall short of achieving their analytics goals, owing to a skills gap and issues with data access and usage.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Do you know what motivates your customers? Therefore, you need sophisticated customer analytics to analyze complex customer behavior. What Is Customer Service Analytics?

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Different Tools for Different Tasks

Perceptual Edge

A routine set of specific analytical tasks (Analyzing the data in the same specific ways again and again). Presentation preparation (Preparing displays of data that will be presented in meetings or in custom reports). Dashboard development (Developing displays that others can use to rapidly monitor performance).

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166
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Unlocking the Secrets of Your Customer Data

DataRobot

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business. Download Now.

ROI 52
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts.