We extract real value from data, using innovative techniques and solutions, in an affordable and sustainable manner. Bringing modern data, analytics and BI technologies together with traditional environments, while staying compliant. We do not gamble with your data. We structure and protect it before we analyse and visualise it.
Data is now generated by a multitude of 'things', including social media platforms, mobile devices, sensors and many more new sources. With this ballooning of data, organisations have fallen into a trap of believing that collecting as much data as they can will see them become data-driven organisations and survive the next wave of innovation. Others have invested in data lakes, Hadoop and other technologies to achieve this. However, most have found that in most cases, they cannot use this data to extract any business value. How do we then transform this precious asset called data into a valuable asset that drives business value, creates new business models for organisations to grow and even reinvent themselves? Both Gartner and Forbes have analytics in the top 10 trends for 2018, yet organisations still find themselves without data and analytics strategies. They do analytics haphazardly. This talk will focus on practical steps and elements of a successful data and analytics strategy, from conception to implementation. Organisations can learn from start-ups to quickly prove business value and implement small wins. Bongani Mbatha will give examples of business value gained by embedding small analytics insights into business processes.
Our early hopes that the Web and social media would promote democracy and freedom seem to have been dashed. The Internet behemoths analyse our personal data for profit, online government surveillance is pervasive, and AI-enabled automation threatens the world economy. The basic question posed to the panel is: how can we, as businesses, embrace and implement a new ethical approach to data collection and use for the good of society as a whole?
Focus on the practical steps and elements of a successful data and analytics strategy from conception to implementation. Determine how organisations can learn from start-ups to quickly prove business value and implement small wins. Learn from examples of business value gained by embedding small analytics insights into business processes.