Remove 2012 Remove Big Data Remove Sales
article thumbnail

Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. A number of companies use big data to provide better social listening capabilities.

article thumbnail

Introduction To The Basic Business Intelligence Concepts

datapine

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought.

article thumbnail

How African CIOs can serve as agents of adoption for digital currencies

CIO Business Intelligence

He discovered digital currencies in India in 2012 and has since been fascinated by them and has worked with them to understand what lies ahead. “I With 210 million Sango coins put on sale in July, 12.1 I have always surrounded myself with digital currencies to understand the futuristic needs in Africa,” he says. .

article thumbnail

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

Use cases for Amazon Redshift integration with Apache Spark For our use case, the leadership of the product-based company wants to know the sales for each product across multiple markets. As sales for the company fluctuate dynamically, it has become a challenge for the leadership to track the sales across multiple markets.

article thumbnail

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

He has worked with building data warehouses and big data solutions for over 15 years. When you use forecasting in Amazon Redshift, Redshift ML uses Forecast to train the forecasting model and to generate forecasts. To use Forecast, you need to have the AmazonForecastFullAccess policy.

article thumbnail

Debunking observability myths – Part 3: Why observability works in every environment, not just large-scale systems

IBM Big Data Hub

A notable example of the importance of observability occurred in 2012 when a financial services firm lost $400+ million in less than an hour due to a software glitch. That year, GittiGidiyor saw mobile sales revenue surge by 82% and was able to accommodate a 4-5x increase in its overall volume during Black Friday.

Metrics 61