Survey: 9 of 10 execs satisfied with Big Data results

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accenture Eighty-nine percent of respondents rated Big Data as “very important” or ?”extremely important” to their businesses? digital transformation, and 82 percent agreed Big Data?provides a significant source of value for their companies. The study is based on a survey of chief information officers, chief operating officers, chief data officers, chief analytics officers, chief marketing officers, chief financial officers and other senior technology, data and analytics leaders from companies in 19 countries across seven industries. ?Businesses are at a transition point where instead of just talking about the potential results that can be achieved from Big Data, they are realizing actual benefits including increasing revenues, a growing base of loyal customers, and more efficient operations,? said Narendra Mulani, senior managing director of Accenture Analytics, part of Accenture Digital. ?They?re recognizing that Big Data?is one of the cornerstones of digital transformation.? For example, using anonymized customer attributes and geolocation data from its WiFi access points, a Japanese telecommunications provider offers consumer companies a platform to target promising customers with mobile advertisements in real-time. Also, a British utilities company processes data in real-time from sensors in water pipes to better anticipate equipment failures and respond faster to leaks and adverse weather events. While the “Internet of Things” is giving rise to massive sources and quantities of data, new Big Data?technologies are emerging that help uncover crucial business insights from the data. ?Companies not implementing big data solutions are missing an opportunity to turn their data into an asset that drives business and a competitive advantage,? added Mulani. More than 60 percent of executives said their companies have successfully completed a Big Data?implementation, while 36 percent haven?t pursued a big data project yet and are currently not pursuing such a project. Four percent were currently pursuing but hadn?t finished their first big data project. Where Big Data drives business benefits According to the research, executives said their companies use Big Data?moderately or extensively to: identify new sources of revenue (94 percent), retain and acquire customers (90 percent), and develop new products and services (89 percent). This is also where the research indicates many enterprises are seeing big business impacts. Executives noted extensive tangible business outcomes from Big Data?in finding new sources of revenue (56 percent), new product and service development (50 percent), winning and keeping customers (47 percent), and enhancing the customer experience (51 percent). Asked where they expect Big Data?to have the biggest impact on their organization in the next five years, 63 percent of executives said ?customer relationships, 58 percent mentioned product development, and 56 percent said operations.? Challenges when implementing Big Data Executives also reported running into the following challenges when implementing big data in their organizations: security (the greatest challenge cited by 51 percent); budget (47 percent); lack of talent to implement Big Data?(41 percent) as well as to run big data and analytics on an ongoing basis (37 percent); and integration with existing systems (35 percent). ?We?ve seen organizations overcome Big Data?implementation challenges by remaining flexible and recognizing that no single solution suits every situation,? said Vince Dell Anno, managing director and global information management lead, Accenture Analytics, part of Accenture Digital. ?If a particular approach doesn?t work, organizations quickly try another one, learning as they grow. They also start small and stay realistic in their expectations. Rather than attempting to do everything at once, they focus resources around proving value in one area, and then let the results cascade from there.? Large companies take different approach to Big Data The research also indicates that large companies with more than $10 billion in annual revenue approach big data differently than small companies having less than $500 million in annual revenue:

? Importance of Big Data: Sixty-seven percent of executives from large companies see big data as extremely important, compared to only 43 percent of respondents from smaller companies.

? Defining Big Data: Executives from large companies demonstrate a broader perception of what big data includes versus respondents from small companies, using more data sources in their big data efforts, e.g.: social network data (54 percent vs. 29 percent), visualization data (50 percent vs. 29 percent), and unstructured data (49 percent vs. 36 percent).

? C-suite support of Big Data projects: Sixty-two percent of executives from large companies report extensive C-suite understanding and support of big data initiatives compared to 42 percent of respondents from small companies.

Recommendations for Big Data success For companies and executives to get the most from their big data projects and help ease big data challenges, the research report outlines key recommendations for organizations including:

? Explore the entire Big Data ecosystem and be nimble. Data sources and big data technologies are in a constant state of flux. Companies need to learn to stay alert and be nimble to seize opportunities arising from, e.g., evolving technologies.

? Start small then grow. Rather than attempting to do everything at once, companies should focus resources around proving value from big data in one business area first via a pilot program or proof of concept.

? Focus on building skills. With talent listed as one of the biggest Big Data challenges, organizations need to build the big data skills of existing employees through training and development.

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