Digital Transformation Blogs - Bigdata, IoT, M2M, Mobility, Cloud

Month: August 2014

Social Media Analytics for Retail – Are you there yet or not?

Let’s start by getting one thing straight – whether retailers talk on social media or not, consumers are. With 1317 million users on Facebook and 271 million active Twitter users as of Q2 2014, our premise is not debatable anymore. And retail is one industry that is comprehensive of all individuals in some way or […]
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Managing Enterprise Big Data – Building the Right Platform

Although the popularity of Big Data is increasing day-by-day, the concept stems from a very simple theory. Businesses mostly rely on transactional data, stored in relational databases, for decision making. However, there’s also a treasure-trove of unstructured, non-transactional data available to them in the form of emails, blogs, photographs, sensors, etc. that can be harnessed […]
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Securing Your M2M Platform – The need and way out

The gravest concern after choosing the right M2M platform and overcoming the challenges in the process of implementation is securing it. While leveraging an M2M platform, companies connect their workforces and mobile resources for gathering or exchanging a lot of data – data that is valuable for business, is the backbone of the system, and […]
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Choosing the Right Penetration Testing Tool

Any system, no matter how secure, is subject to some form of vulnerability. Unless a systematic attack is mounted on the network from outside the firewall, the ability of hackers to infiltrate your organization’s data will never be known. Penetration testing (or Pen Test) is a legal attempt to hack into computer systems or networks, […]
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Choosing the ideal M2M platform for your enterprise IoT

Enterprises today face many challenges when it comes to choosing the right Machine to Machine (M2M) platform for their Internet of Things (IoT) architecture. In most cases, these challenges surface out of the enterprises’ lack of ability to comprehend their own structure, competencies and strategies. Once enterprises turn within and understand where they stand and […]
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Designing the right infrastructure for Big Data – best practices

Big data refers to the collection and subsequent analysis of any significantly large collection of data that may contain insights or business intelligence. Though the concept of Big Data is not startling new, its attributes which are mainly variety, volume and variability have been forever varying. Unlike traditional business analytics, Big Data provides business intelligence, […]
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