'Kiss Connectivity': The Future of Data Transfer Technology?

Lawyers would clearly articulate new things you had to start doing, old things you had to stop doing and help sort through the shades of grey in between on the parts of the new regulation that weren’t clear.

Instead, it proved to be a painful, somewhat messy process for our Product team.

We would often receive impractical requests, asks from partners that couldn’t be seen to fruition, all on impossibly short deadlines.

Considering the obstacles we faced, it is with some pride that I recognize what our teams were able to accomplish and that they ultimately completed the job.

Once our policy agenda was finalized, we created a number of internal practices to ensure our Products and Services are not only compliant, but in line with the high ethical standards we have set for ourselves and are demanded by our clients.

There are three key components:Senior leadership review board: A collaboration of leadership across all functional areas of the company that together consider challenges and major policy decisions related to uses of data and technology.

Big Data Analytics is changing the way businesses work by using predictive analysis which helps to gather insights related to improving ROI and provide seamless solutions.According to research, it is found that about 1.7 megabytes of data will be generated every second, and there will be 3.5 billion search queries on Google every day by 2020.

The humongous data is a clear indicator of the importance of better opportunities that businesses will get with Big Data.

Also, companies are expected to spend over 57 billion dollars this year for Big Data to become more competent in their craft and stay ahead of the competition.A brief history of Big DataWhile the term ‘Big Data’ seems to be relatively accurate in the business scenario, the concept of collecting data in large numbers started years ago.

In the early 2000s, industry analyst Doug Laney coined Big Data as the collection of three different things.Variety: For businesses working in different domains, data can come in various forms from various sources.

Previously there were only databases and spreadsheets that were considered as data sources, whereas emails, videos, and monitoring devices form the new age data sources.Volume: As business organizations have data coming from a variety of sources, the storage of data in a synchronized manner can be a problem.

The tools will identify effective manners in which the data can be stored, and businesses can have better opportunities.

  Market Research is all about the process of gathering, analyzing, and interpreting information about the market, a product, or service offered to the customers.

It involves understanding the target audience, spending habits, and needs & buying behavior of the consumers.It provides relevant market research data which helps in understanding the industry challenges, current scenario, and market opportunities so form your business and marketing strategies.

It is done through 2 methodologies, i.e., primary and secondary.Primary Research involves data collection services, market survey, in-depth interviews and consulting industry experts to gather desired informationSecondary Research comprises of gathering market information through reports, journal, articles, and studies conducted by government agencies, trade associations or other businesses within that industry.According to a market research company, it is estimated that the global revenue for the market research industry will reach a value of USD31 Bn by 2020.

In 2018, North America region accounted for the highest market share of 45%.

Countries such as China, India, Brazil, and Russia are experiencing an increase in the demand for market research owing to rapid industrialization and increasing competition in the market.As we know, technology is playing a significant role in disrupting every industry, which is resulting in enhanced productivity, cost optimization, revenue management, and others.

Market research is an industry which requires cost-effective & quality delivery with satisfying results to the clients within the committed deadlines.

The global data classification market size is expected to reach USD 2.44 billion by 2025, expanding at a CAGR of 25.7% over the forecast period, according to a new report by Grand View Research, Inc. Increasing stringency on regulatory compliance, generation of large data volume, and the introduction of big data and machine learning technology are some of the major growth drivers for the market.

Moreover, the data-driven decision-making for sales, rising product launch, and increasing number of enterprises are some of the factors providing impetus to the growth.Data classification offered as a standalone and integrated solution is changing the way the information is generated, stored, and processed.

The homogeneously tagged information with industry defined classification is vital in generating actionable insights.

Hence, enterprises are inclined to opt for integrated data security platform for data classification as well as protection.

Moreover, repercussion of non-compliance can lead to huge financial and reputational losses.

Hence, the adoption of data classification solution is vital to address the data security concerns of the organizations as it classifies the information based on the nature of content.Data classification solution is anticipated to witness high adoption across major developed countries such as U.S., Canada, Germany, and Japan.

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