What are the latest trending technics of Data Wrangling Industry 2020 ?

 Data wrangling is the process of cleaning, enriching and structuring raw data into meaningful insights for increasing the decision-making capability of an organization. Data wrangling provides precise and actionable data to business analyst and reduce the time spent on collecting and analyzing data.

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 Furthermore, increase in digitalization across various industry verticals has increase the volume of data owing to which the adoption of data wrangling solution has increased. In addition, data wrangling helps organizations to correlate with the data which is composed and turn it into an expressive level and find hidden perceptions that can be used through decision making procedures.

Increase in volume and velocity of data across the organizations and technological advancement such as AI and machine learning technologies in data wrangling drives the growth of the market. In addition, growth of edge computing solutions fuels the growth of the market. However, reluctance to shift from traditional extract, transform and load (ETL) tools to advance automated tools hampers the growth of the market. Furthermore, increasing regulatory pressure among the enterprises is expected to present major opportunities for the expansion of the market in future.

The global data wrangling market is segmented into component, deployment model, organization size, business function, industry vertical and region. In terms of component, it is bifurcated into solution and service. Based on deployment model, the market is segmented into on-premise and cloud. By organization size, it is divided into large enterprises and small- and medium-sized enterprises (SME's). In terms of business function, the market is classified into finance, marketing & sales, operations and human resources. As per industry vertical, the market is segmented into BFSI, government & public sector, healthcare & life science, retail and e-commerce, media & entertainment, energy & utilities, IT & telecom, manufacturing and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.