Hypothesis driven thinking in data science

Hypothesis driven thinking in data science

“In God we trust! All others bring data,” is a popular quote attributed to William Deming, a physicist and a pioneer in quality management. By applying statistical methods from the natural sciences to manufacturing in the first half of the 20 century, he was able to drastically increase the industry’s efficiency. In a way, Deming was one of the predecessors …

How to manage big data in the age of digital

How to manage big data in the age of digital

In today’s digital world, businesses are increasingly focused on a digital-first approach or implementing new initiatives to encourage digital transformation. As a result, both organisations and individuals are forced to get to grips with certain changes. While consumers might be faced with adapting to a new app or a different way of consuming content across a variety of devices, organisations …

Why Use Business Intelligence Software to Transform Data

Why Use Business Intelligence Software to Transform Data

Businesses have overflowing data involving their internal processes, prospects, partners, suppliers, competitors, and customers. It’s often difficult to leverage this huge amount of data and translate them to useful information that can generate profits and revenue. A business intelligence software is the key for an enterprise to operate efficiently. Business intelligence tools enable businesses to transform their data into useful …

Bridging the Gap Between Big Data Science

Bridging the Gap Between Big Data Science, Health IT Usability

The health IT landscape often seems starkly divided between two opposing camps: those who design elegant algorithms and regimented workflows in the idealized sterility of the R&D department, and those whose frenzied, frustrating daily experience in the hospital, office, or clinic have taught them that there is no such thing as an out-of-the-box solution to any of their big data …

Predictive Analytics Let Manufacturers See More Clearly into Their Supply Chains

Predictive Analytics Let Manufacturers See More Clearly into Their Supply Chains

Not that long ago, supply chain visibility tended to be an internally-focused process, one that allowed manufacturers to know when exactly they could expect to receive inbound goods and materials from their suppliers so they could plan and adjust their production schedules. While that’s still an important capability for companies to have, the Age of the Consumer has shifted the …

Ditch the Old Ways of Product Management. Say Hello to Product Innovation.

Ditch the Old Ways of Product Management. Say Hello to Product Innovation.

As the number of data points in the world continues to grow, so do the ways that businesses can stay informed and effectively manage their products. In the past, for example, companies relied on product data in batch form or used recommended guidelines to manage their supply chain. Stores reviewed inventory data, orders were fulfilled from distribution centers, shipping companies …

Key Trends To Dominate Big Data Analytics

Key Trends To Dominate Big Data Analytics

Big data analytics has been in the forefront of providing insights and predictive power to businesses in recent times. Once an industry hype, it has become a critical need and requirement as more and more businesses realized that data and the related infrastructure, in all forms and sizes, is critical to making the best possible decisions. In 2017, we will …

The Battle Over Analytics: Who Should Lead The Charge?

The Battle Over Analytics: Who Should Lead The Charge?

The IT organization has to carve out its role in a company’s analytics strategy. What works? Either of two approaches. Analyst: It’s a common title in enterprises today, spanning functional and business units – marketing analyst, finance analyst, IT analyst, sales analyst and HR analyst to name a few. Yet often, there is no centralized oversight, leaving ownership of business …

Predictive analytics: What are the challenges and opportunities?

Predictive analytics: What are the challenges and opportunities?

In August 2016, Econsultancy published a report in association with IBM called The Secrets of Elite Analytics Practices. Part of this wide ranging report seeks to discover just how automation and AI have changed analytics in marketing. Let’s look at some of the talking points… Time was identified as a business’s most precious resource. Being able to streamline the marketing …