Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

In other organizations, models are embedded into fully automated systems based on scoring algorithms or analytics-based rules.

like Hadoop on commodity server clusters, cloud technologies (private and public), and open-source software. The most notable

There have always been three types of analytics: descriptive, which report on the past; predictive, which use models based on past data to predict the future; and prescriptive, which use models to specify optimal behaviors and actions.

changes are attempts to eliminate the tedious ETL step before data can be assessed and analyzed. This objective is being addressed through real-time messaging and computation tools such as Apache Kafka and Storm.

Big data technologies include a variety of hardware/software architectures, including clustered parallel servers using Hadoop/MapReduce, dedicated big data appliances, in-memory analytics, in-database processing, and so forth.

from the processing and analysis of it and the insights, products, and services that emerge from analysis.

sufficiency models”—defined as all the information needed to manage the business in seven key domains—are included in two major decision environments. One, called the Decision Cockpit, is present on over fifty thousand desktops at P&G. Another environment, called the Business Sphere, is used for management decision making in groups, and feature

They are a means of embedding analytics into key processes and employee behaviors.

analytical models in Analytics 3.0 are often being embedded into operational and decision processes, dramatically