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We humans don’t have the abilities to capture and analyze data from the future. But predictive analysis helps us to foretell future using the data from the past. Questions like what amount of sales will a particular product generate in coming years, will this customer continue to buy specific volumes in future; all these need to be answered. Predicting the next year’s sales figures, the effects of particular product campaigns on the customer mindset, all are forms of predictive analysis.

Testing implies the purpose of understanding whether the system fulfils the requirements or not. It helps identify the gaps, errors, or any missing requirements against the defined requirements.
Based on my testing experience, I feel that testing is a basic human nature of examining things before accepting or agreeing upon. In case of software testing, it starts with analysing requirements much before actual software development.

The ‘Make in India’ campaign has definitely hit the right chords for India’s manufacturing sector. It is estimated that India’s manufacturing sector will touch US$ 1 trillion by 2025. This forecasts a potential growth rate of 25-30 percent of the country’s GDP and generate phenomenal job opportunities.

Wearable devices comprises a gamut of new technologies that for sure determines the future for us; smart watches, fitness trackers, heartbeat trackers, smart glasses, GPS tracking devices and much more. A study by Forbes, states that by the end of 2016, the entire wearable technology market will cross almost $2 billion in revenues.

A recent IDC report states that Big Data technology and services market represents a fast-growing multibillion-dollar worldwide opportunity. Further, it forecasts that the Big Data technology and services market will grow at a 26.4% compound annual growth rate to $41.5 billion through 2018, or about six times the growth rate of the overall information technology market.

Data lakes have emerged as a special storage and repository mechanism of the raw unsoiled data in its native form. Organizations today generate enormous data related to various aspects of activity. In order to resolve the challenges of data storage, integration and accessibility, data lake is created. It allows refining, exploring and enriching the data as per the organizational requirements.

Zig Ziglar, an American author & motivational speaker rightly states, “You don’t build a business; you build people who then build the business.” Festivals and holidays are synonyms for a corporate house and employees. At workplace, it is time to think about ourselves and the people around us.

Self-service BI may sound simple. As stated by experts it is an approach to data analytics that facilitates users to access and utilize business information without the IT department’s involvement. The user requires BI tool, which enables the analytics process and helps derive business reports independently. In the previous article, we discussed about the pre-requisites to design a self-service BI system.

The beginning of a new year is a perfect time to ponder over the success of the past year and plan ahead for new achievements in the coming year. It is imperative to prioritize on the strategy depending on the diverse requirements of the employees and defining the organizational structure.

Commonly a developer needs a better IDE (Integrated Development Environment) for a language on which he/she is working.  JavaScripting is another scripting language and is used widely.
Now, if we look around the web we realize that the IDEs which are really good come with a cost. On the flip side, free one lacks features, whereas, Chrome DevTools is free and also a great IDE

Many a times, BPM technology service providers face a dilemma while automating a workflow requirement for a client, they realize the process itself is outdated. The client, on the other hand, wants to resolve the current situation rather than focusing on the overall business processes and operating model. At times, it’s difficult to convince the customer about the existing relevance of the old legacy processes and investments required for resulting inefficiencies.

Explicitly speaking, Crowdsourcing implies ‘many heads are better than one’. The most evident example we can see today is Wikipedia. It is an encyclopaedia that everyone quotes today and refers to for any debate, discussion or justification. With this mechanism it is believed that when many people contribute, automatically the quality of content enhances and chances of errors reduces.