With ‘New Year, New Me’ on everyone’s lips and social media posts at the start of 2019 last week, we at Corinium decided we would have a look into ‘New Year, New Data Trends for 2019’ instead.
The data, analytics & data science trends that caught our attention, and which we think will feature prominently, in 2019 are:
- Data Consent Management
- Cloud Migration & Governance in the Cloud
- Automation & Augmented Analytics
- AI for Good & Bad
Data Consent Management
This is where data, privacy and regulations meet. Do we really have the consent of the consumer to use their data to create insights or drive our business decisions? Moving forward the answer is no, or not anymore.
The ‘Do you accept terms & conditions’ button and check boxes will not be sufficient for much longer as consumers are becoming more worried about what their data is actually being used for and how far this intrudes into their privacy.
Consumers will indeed regain control of their data this year. With POPIA and GDPR now in force, 2019 will also be the year of fines.
Cloud Migration & Governance in the Cloud
Organisations will be taking the next steps to migrate their data to the cloud and away from on-site premises as well as governing the data directly in the cloud. In 2018 many organisations started discussing this as a cost saver and to truly accomplish real-time analytics. We believe that 2019 is the year this will make sense to most organisations - which will lead to the data offices getting the buy-in from business and implementation will take place.
There are already many tools available to govern this data in the cloud and deliver real-time analytics which is also a great benefit. Data will be shared and available to more units of the organisations which is great but imposes another security & privacy threat which means organisation will have to be careful and handle this with sensitivity.
Automation & Augmented Analytics
Today’s data scientists are collecting, preparing and analysing more data than ever before and this is why these processes are being automated to free the data scientist from these tasks so they can do what they do best and apply their creativity and skills to deliver valuable insights which can be used and applied to deliver business value.
2019 will be a year where more data scientists will make use of more automated algorithms to generate these valuable insights. “By 2020, more than 40% of data science tasks will be automated”, according to Gartner.
Augmented analytics and automated insights will remove the human bias element and will be embedded into enterprise applications in many organisations from 2019 and beyond.
AI for Good and Bad
Artificial Intelligence is not a new trend as this was a big discussion point in many organisations during the year of 2018. We do however feel that 2019 will be the year of implementation, after discussions, research and presenting to get business buy-in this will be the year to move forward and start practical implementation.
Not only will AI be implemented more but will also be used for the good like improving healthcare through the use of wearable devices, AI-related technologies which will be used for diagnostics, treatment and administration and will even be used to identify molecules which could be turned into life-saving drugs.
With the good comes the bad unfortunately, experts are predicting a bad side of AI on the increase. AI-orchestrated attacks could target the stock market, a city’s power supply or even attack companies from the inside with AI-powered malware. Who will fight these AI-driven attacks? AI. Yes, AI will be needed to fight AI.
“We are looking forward to witnessing these trends unfold and even more trends and developments to come into play as the year continues.” Gert Botes, Portfolio Director: Data Analytics – MEA, Corinium Global Intelligence
