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https://issues.apache.org/jira/browse/ARROW-13181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jonathan Keane deleted ARROW-13181:
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> Big Data and Technology Services Market f 95 zone
> -------------------------------------------------
>
> Key: ARROW-13181
> URL: https://issues.apache.org/jira/browse/ARROW-13181
> Project: Apache Arrow
> Issue Type: Bug
> Reporter: Abigail Cole
> Priority: Major
>
> Big data has been touted as the next massive transformation in global data
> analysis and management. Businesses around the globe have incorporated big
> data in their operations to make sense of the seeming myriad data generated
> on a consistent basis. The adoption of big data technology and services has
> grown at a robust pace among end-use industries. As big data becomes more
> mainstream, and integration with cloud and artificial intelligences becomes
> more streamlined, further growth is projected. According to a recently
> published report, the global big data technology and services market is
> poised to reach a valuation of over US$ 184 Bn.
> Data-Driven Decision Making Continues to Fuel Adoption of Big Data Technology
> and Services
> Over the years, there has been significant shift in how businesses make
> critical business decisions. Assumptions and traditional intelligence
> gathering has given way to fact-based, data-driven decision making which has
> furthered the cause for adopting big data solutions. The change in status-quo
> has been one of the key factors for the growing adoption of big data
> technology and services in various end-use industries. As more businesses are
> realizing the advantages of big data in decision-making, it is highly likely
> that adoption of big data technology and services will grow at a steady pace
> in the short- and long-term.
> The information big data analysis brings to the fore has also helped
> businesses bridge the challenges associated with agility and stakeholder
> empowerment. Businesses have traditionally faced an uphill task in terms of
> finding that elusive balance between agility and decentralization. Counting
> in everyone's opinion before making big decisions has been the utopian focus
> of businesses, however, it also comes with the risk of slowing down the
> decision-making process in a hyper-competitive environment. The RACI
> framework, which has been referred by businesses to reduce ambiguity on
> choosing the right authority on decision-making is becoming easier to
> navigate as access to data makes the entire decision-making process a
> seamless affair.
> Integration of Big Data with Traditional Business Intelligence - The Way
> Forward?
> Integration of big data technology and services with traditional business
> intelligence is being looked upon as the way forward for businesses focusing
> on quick fact-based decision making and improvement in customer experience.
> Business intelligence has been a reliable tool for companies to understand
> their target audience more intimately; however, the high turnaround time has
> remained an impediment. The incorporation of big data has mitigated this
> challenge to an extent, which in turn has fuelled adoption among end-users.
> In the future, it is highly likely that big data and business intelligence
> will become highly intertwined.
> Banking, Financial services and Insurance (BFSI) Industry Continues to be at
> Forefront of Adoption
> Although adoption of big data technology and service has been pervasive, BFSI
> sector has remained at the forefront of adoption since the early days of big
> data. The sheer volume of data generated on a daily basis in the BFSI
> industry has necessitated the adoption of a holistic data monitoring,
> gathering, and analysis solutions. Some of the key challenges that the BFSI
> sector currently faces include fraud identification, unorganized data, and
> operational inefficiency. The inclusion of big data technology and services
> has helped alleviate some of these challenges to a great extent. On the back
> of these improvements, there has been a significant penetration of big data
> in the BFSI sector. According to current estimates, revenues generated from
> adoption of big data technology and services are likely to reach over US$ 33
> billion in terms of revenues by 2026.
> Inclusion of Big Data Technology and Services Gaining Ground in Healthcare
> Sector
> Big data has massive potential in the healthcare industry, with proponents
> touting benefits ranging from epidemic prediction and reduced cost of
> treatments. Although electronic health records (EHR) have been a staple in
> the healthcare sector for quite a while, their efficacy is limited to the
> medical history of patients. Big data, on the other hand, promises a
> comprehensive, holistic data analysis that can help healthcare providers in
> managing massive volume of data. The insights offered through inclusion of
> big data technology and services can help healthcare *[f 95
> zone|https://complextime.com/f95zone-what-is-it-and-why-use-it/]* providers
> improve the profitability, while improving the care received by people.
> Big Data in Governance: Helping Policy Makers Make Better Business Decisions
> In addition to growing adoption in the private sector, bigd ata technology
> and services are also being incorporated in governance and administration.
> Governments around the world have a herculean task of collating myriad data
> about hundreds of millions of people. The collection of data, and its
> organizations costs hundreds of millions of dollars in government
> expenditure. Although big data can't entirely replace the manual and physical
> process in all the countries, its integration with traditional data
> collection practices can help in seamless and quicker collection of data.
>
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