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IFE ADEDAPO writes on how increased productivity can be achieved with adequate information analysis
Big data has proved to be useful for large corporate organisations in outperforming their peers.
Large pools of data are being brought together and analysed to identify patterns and make better business decisions.
Experts note that the overall goal of the data mining process is to extract insight and information from a data set and transform it into an understandable structure for further use in decision making, strategy development and implementation.
According to them, by visualising recent data from companies, data mining can be used to make projections and suggest how each company can maximise its potential.
Data mining and analytics involve loading the data into a data warehouse system, storing and managing them, analysing the data for patterns and relationships and visualising it.
In addition, a report by Accenture notes that only larger companies have been seen to be among the biggest beneficiaries of initial big data implementations.
Although, big data projects still pose challenges, larger companies appear to bring a deeper understanding of big data’s scope and sources of value; a serious focus on practical applications and business outcomes; greater commitment in budget and talent and a keener appreciation of the importance and disruptive power of big data, it says.
The report titled, ‘Big success with big data’, highlights the mechanisms and global trends of its utilisation.
Start local and end global
The report states that with the support of chief executive officers and other senior management staff, users of big data in larger companies are winning big by starting small and staying realistic with their expectations, helped by frequent, direct information.
Rather than attempting to do everything at once, it says they focus resources around proving value in one area, and then letting the results spread across the wider enterprise.
It explains, “The mantra here could be ‘start local, end global,’ as users focus on practical applications such as customer support, build internal support, and concentrate on desired outcomes.”
Big data demands broad learning
While many organisations are only beginning to explore initial projects, they find that big data presents big challenges which are not limited to lack of talent, security issues and budget concerns, Accenture observes.
Moreover, many companies have different definitions of big data; and varied expectations, from the prospect of large immediate cost-savings to mistaken notions about the cost of implementation, it adds.
According to the report, many organisations hold different views of data sources and uses and often, valuable data sources are omitted or overlooked.
It notes that differing perceptions about the scope and benefits of big data are yet to be clarified.
The report reads, “More than one-third of users (36 per cent) think big data requires an extremely big investment. A roughly equal percentage (37 per cent) thinks organisations can achieve extremely large cost-savings with big data. One in four (26 per cent) believe companies are required to implement big data all at once across the enterprise.
“Many users imagine big data initiatives will be easy until they confront challenges from security and budget to talent, or the lack of it. More than four in ten (41 per cent) reported a lack of appropriately skilled resources, and almost as many (37 per cent) felt they did not have the talent to run big data and analytics on an ongoing basis.”
However, for success in any project, Accenture posits that requisite expertise should be taken cognisance of.
Big data’s disruptive potential
According to the result of the survey, majority of users of big data (89 per cent) believe that it will revolutionise business operations in the same way that the Internet did.
It says, “Almost eight in ten users (79 per cent) agree that ‘companies that do not embrace big data will lose their competitive position and may even face extinction.’ Even more (83 per cent) have pursued big data projects in order to seize a competitive edge.”
Early adopters see competitive advantage in big data, and are rapidly moving to disrupt their own data practices, rather than let competitors beat them to it, the report adds.
It works across the industry
Accenture says that the perceptions about big data’s disruptive power are not confined to technology organisations, because users see it as a new competitive weapon that has application across industries, like the financial services, insurance, and practitioners such as postal services and governments.
It notes that companies are moving rapidly to take advantage of maturing new technologies that move, mine and consume increasingly diverse data from an ever-larger array of sources and sensors, driving outcomes sooner with greater impact than anyone imagined possible.
According to the report, users are structuring projects and expecting results in weeks or months, rather than losing years in the design phase.
It adds, “Ninety-one per cent of users report plans to build out or increase their current data science expertise soon, and the larger the company, the sooner they plan to invest, 69 per cent within the coming year for companies greater than $10bn.”
Citing the example of a European government which was experiencing slowdowns in utilisation, cancelled queries and storage limitations, it says after implementing a new solution for big data processing, storage requirements fell by 90 per cent, total cost of operations dropped, and previously impossible statistical analysis is now routine.
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