The hype around big data and the benefits it can deliver for business is currently a hot topic, particularly for marketing departments where big data promises to deliver deeper customer insight, better business decision-making and improved return on marketing investment. However, while the advantages of leveraging this data are multiple, many organisations struggle to come to grips with the added complexity that big data brings.
The myth that poor quality data does not impact big data analytics has been debunked. Missing, inaccurate and disconnected data remain significant challenges that result in missed opportunities, even when using the more comprehensive data sets available with big data.
This was one of the findings highlighted by a survey of senior marketing professionals sponsored by Trillium Software. This issue is only exacerbated by the often-confusing combination of on-premise and cloud-based storage and back-end solutions. Addressing the data quality challenge is critical to enabling organisations to leverage the value of big data for enhanced marketing and business decisions.
Marketing can become more scientific by using quality big data to remove the guess work from questions such as “Where to focus my marketing spend?”, “Which channels drive the optimal spend habits?”, or “How often should I contact my customer?”
Linking insight into effective channels, interaction methods, timing and frequency to aspects such as advertising spend and customer buying behaviour can, for example, allow you to focus spending where it is proven to deliver desired results. New opportunities, new customers and new behaviour patterns can be identified, all of which can be used to enhance the return on your marketing investment.
Can this value be delivered without consolidating and grouping related data from multiple sources?
Accurate information is critical to assist marketers to answer the questions essential in driving improved business decision-making. With accurate data comes accurate insight into customers, their behaviours and the entire customer journey, helping marketers gain a better understanding of the big picture by providing fine detail. However, these details need to be true and data must therefore be trustworthy and accurate.
According to the survey, opportunities are being missed as a direct result of poor-quality data. The big data mixture of in-house and cloud systems, solutions, storage and applications only exacerbates the problem. Big data analytics increases the number of sources for mining customer data, adding further complexity.
If not harnessed effectively, big data offers greater volumes of data from which to make bigger, more significant mistakes. By nature, big data brings added complexity to data management. By exposing poor quality and unverified data the answers and insights provided cannot be trusted.
Marketers today have access to more data than ever before, but this information is often scattered through multiple data siloes, making it difficult to unify. Without governance and a solid understanding of what data there is and why it is being used for analysis, as well as an assurance of the quality of the information, big data has limited value.
Customers today demand an unprecedented level of personalisation and competitiveness. The ability to provide this lies in an organisation’s ability to deliver tailored offers at the right time in the right format through the right channel. Many marketers remain unable to access the all-important “single view” of the customer, and need a way to access, understand and utilise all of the available insight that big data potentially holds.
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