Data Discovery Market 2021 Strategic Assessment – Tableau Software, LLC (Salesforce Company), Datameer, Inc., Altair Engineering, Inc., SAP SE

The Market Insights Reports has added a new statistical data to its repository titled as, Global Data Discovery Market. It provides the industry overview with market growth analysis with a historical & futuristic perspective for the following parameters; cost, revenue, demands, and supply data (as applicable). Furthermore, the report also sheds light on recent developments and technological platforms, in addition to distinctive tools, and methodologies that will help to propel the performance of industries.

The Data Discovery Market is expected to grow at a CAGR of 21% over the forecast period 2020 to 2025.

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Top Key Players in the Global Data Discovery Market are Tableau Software, LLC (Salesforce Company), Datameer, Inc., Altair Engineering, Inc., SAP SE, Tibco Software Inc., Cloudera, Inc., Platfora, Inc., ClearStory Data Inc., Oracle Corporation, Birst, Inc., Qlik Technologies, Inc., MicroStrategy Incorporated, Panorama Software, Alteryx, Inc., SAS Institute Inc., and others. 

Industry News and Update:

May 2020 – Tableau rolled its latest version to date, 2020.2, which includes a new data model for multiple source analysis without coding or scripting as well as a feature called Metrics, which monitors key performance indicators via mobile devices. Data modeling is designed to democratize the ability to analyze complex data sets. With the new data model, Tableau will aggregate details for the analysis required.

– October 2019 – Datameer, announced funding to drive global adoption of Datameer X by the data science community and importantly to launch Neebo, a cloud-native self-service solution that will enable teams of analytics professionals and data scientists to create, discover, use, and share trusted assets in hybrid landscapes.

Key Market Trends:

Banking, Financial Services, and Insurance Sector Holds a Dominant Position    

– Data discovery tools help to take issues such as inadequate data modeling abilities of bank employees and enable bank personnel to interpret the data to magnify the customer experience. It helps to recognize potential customer segments and trap them with compelling offers. More significantly, data discovery allows banks and financial service providers to build business models and make proper investment decisions with substantial risk analysis.

– The trend is growing, and in 2020 these numbers became only more significant. According to GDC prognosis, the amount of data generated each second will increase by 700% by 2020. The financial and banking data will be one of the foundations of this Big Data surge, and being able to concoct it means being competitive amongst the banks and financial institutions.

– With a massive volume of data gushing from many transactions, the banks are trying to find innovative business ideas and risk management solutions. Each set of the data gathered over a period tells a unique story and shows the goalpost for a definite future period so that a business firm can capitalize on this information to attain a competitive edge in the market.

– For instance, SAS through its offerings delivers proven value and can help unlock AI’s vast potential for digital transformation. SAS in the Banking Industry has more than 3500 financial services customers worldwide; more than 90% of the top global banks use SAS. Banking analytics solutions from SAS with predictive analytics and embedded AI skills are helping meet a variety of strategic business needs.

– Big data analytics can enhance the extrapolative power of risk models employed by banks and financial institutions. Adopting the Big Data analytics and instilling it into the existing banking sector workflows is one of the essential elements of surviving and prevailing in the rapidly evolving business environment of the digital millennium.

Full Browse the report description and TOC:             

Highlights of TOC:

Market Overview: It starts with product overview and scope of the Global Data Discovery market and later gives consumption and production growth rate comparisons by application and product respectively. It also includes a glimpse of the regional study and Data Discovery market size analysis for the review period 2015-2025.

Company Profiles: Each company profiled in the report is assessed for its market growth keeping in view vital factors such as price, Data Discovery market gross margin, revenue, production, markets served, main business, product specifications, applications, and introduction, areas served, and production sites.

Manufacturing Cost Analysis: It includes industrial chain analysis, manufacturing process analysis, the proportion of manufacturing cost structure, and the analysis of key raw materials.

Market Dynamics: Readers are provided with a comprehensive analysis of Data Discovery market challenges, influence factors, drivers, opportunities, and trends.

Market Forecast: Here, the Data Discovery report provides consumption forecast by application, price, revenue, and production forecast by product, consumption forecast by region, production forecast by region, and production and revenue forecast.                              

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