How Testing can save Financial Applications from the next HACK

How Testing can save Financial Applications from the next HACK

On October 20, 2016, The Economic Times (Indian business daily) reported that ‘3.2 million debit cards may have been compromised in India’ as a result of a security breach. The breach allegedly originated in Hitachi Payment Services that enabled fraudsters to steal information and consequently funds. Startling incidents like these further establish the need for testing in the Financial/Banking sector.
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The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

Is your Enterprise Big Data Tested?

Is your Enterprise Big Data Tested

The Startup buzz is gaining grounds and it has transformed the way enterprises strategize and operate. Startups are known to leverage various technologies that boost cost effectiveness, efficiency and time to market. For instance, thanks to the Open source platforms, today Startups have access to the best Big Data infrastructure and testing tools at ‘zero’ cost. They run a mile further in optimizing the Cloud to reap the most from their Big Data investments.
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The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

The Challenges of Testing in a Cloud Computing Environment

The Challenges of Testing in a Cloud Computing Environment

Cloud Services, as the experts say, are here to take enterprises from the Industrial era to the era of Information Accessibility.

What could be the most apparent instances of operating in a Cloud-based environment?

  • Updating your Mobile Applications on the go
  • Mailing / accessing some work documents outside your office premises
  • Updating your Facebook & WhatsApp status while commuting
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The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

Moving from Descriptive Metrics to Predictive & Prescriptive Metrics

Descriptive metrics to predictive and prescriptive metrics

 

With the deluge of data being churned every day in businesses, organisations are turning to analytics solutions to understand what these huge volumes of data mean, and how can they help improve decision making. We need to chart a new course with data, which is to predict.

Every organization that is driven by data wishes to fulfil its promise of doing it right. Reviewing the available analytic options in itself can prove to be a humongous task in itself. Analytics are necessary when data is needed to answer specific business-related questions, whereas through metrics it’s being responsible to a certain action and in order to measure, metrics are formulated from the analytics available.
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The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

Need for Innovation in Digital Quality Assurance

Need for Innovation in Digital Quality Assurance1

Going Digital is no more a new word in the technology arena as most of the IT organizations have assimilated themselves to the new trend. The wheels of digital revolution have pulled every organization towards it, as it leads to continuous, consistence interaction with customers across the multiple channels leading to consumerization of services.
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The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.