Along with generating an ever-increasing repository of data that’s posing enormous challenges, Big Data is also bringing in significant business opportunities. This is especially true in the ways in which Big Data analytics is affecting the performance of sales and marketing experts, the right way. Yes, the age of "Big Data" has clearly dawned to impact sales and marketing in 2015. Take a look.
Big Data changing Sales and Marketing Models in 2015
The sales and marketing scene, globally, is going through some revolutionary changes in 2015. From Big Data analytics making their presence felt in the ways in which companies are reaching out to their consumers to marketers relying on robust toolsets to target pre-defined segments, and more, these changes include:
Big Data Analytics in Marketing
It’s acceptable that Big Data marketing toolsets are still going through the processes of maturing; but then, use of proper business analytics, storage of data on cloud platforms, and other big data best practices are serving as critical determinants for Big Data (sales and marketing) success. In 2015, analysts are using high data quality for comprehensive data ingestion and integrating datasets from diverse online/ offline sources for helping organizations get high-definition views of their customers. They are intelligently identifying hidden behaviours and recognizing purchase patterns via smart customer analytics, data pattern discovery options, and data science technologies. By Assemble insights into well-curated and easy-to-understand visualizations and dashboards these data scientists are helping marketers and other stakeholders take better business decisions. Additionally, those dealing with Big Data marketing analytics are delivering key insights, on a consistent basis, for enabling downstream systems take instant actions and gain optimum results from their overall marketing efforts.
Big Data Marketing Trends in 2015
As more and more businesses are embracing big data marketing, they are getting you understand their customers in better ways. Now, companies are designing more lucrative sales and marketing strategies, thereby giving rise to the following trends.
Currently, salespeople and marketers are increasing their revenue contributions by getting answers to data management problems. The challenges faced by results-driven marketers are finding solutions via initiatives such as personalization, marketing automation, and predictive marketing. These capabilities have to be enhanced and unified for enriching the customer and prospect lifecycle data for any business; and at the organization’s own pace.
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