Page 14 - AeM_August_2019

RESEARCH, ANALYSIS & TRENDS

Data management and analytics

increasingly integrate

Do you know just how much new data information we’re a powerful basis for granting secure access to other
creating? According to IDC forecasts exponentially more user groups within and outside of their own
and more, growing to 163 zettabytes by 2025. And not organization and for providing new, action-relevant
only does IDC predict the frantic growth of data insights.
generation, it estimates that one-fifth of all this data will
be critical if not hypercritical to our daily lives. Building embedded analytics: organizations will
leverage the benefits of embedded analytics across all
So, how will we deal with this enormous amount, handle, departments, both as an extension of business process
store but especially evaluate to make conclusions? In visibility, and to enhance interactions with customers,
the field of data analytics, companies can use a variety suppliers, and business partners. In addition, the use of
of technologies by now that automate the job. Some of embedded analytics will align with the convergence of
the current technologies are only beginning to be used in other key data analytics technologies as more
different application scenarios in the areas of analytics companies use AI and machine learning to streamline
and data management. and more efficiently manage their processes based on
a well-founded data value chain.
Certainly, the ability to monetize data through embedded
analytics and to offer new data-driven services Improved data protection and higher data security:
significantly increases value and allows to tap into the The General Data Protection Regulation (GDPR) was
tremendous potential of data analytics. The most the first of many measures to implement higher
important trends you should keep in mind here are: requirements for data security, data protection, storage
and use of personal and confidential data.
Comprehensive enterprise-wide analytics: demand Governments and businesses will be even more
for more efficient data management and a data value challenged than ever in the future to protect personal
chain that provides decision-relevant information and confidential data from unauthorized access and to
continues to grow rapidly. At the same time, high data define what may be publicly available.
quality, master data management and other data-centric
functions are becoming increasingly important. Although the increasing amount and complexity of the
Successful companies combine all these activities and data may at first glance appear to be an obstacle when
components in a cross-departmental and enterprise- companies want to increase their value by adding big
scalable analytics strategy. data processes, but they can’t neglect innovative data
management and analytics solutions to support
Technology convergence: AI, Predictive Analytics, IoT, evaluation and processing. Complemented by artificial
and Blockchain are technologies that require reliable intelligence, machine learning and embedded analytics,
data collection and targeted analysis, especially since this will enable them to identify new business
the convergence of these technologies creates all new opportunities and increase their competitiveness. ◊
opportunities. By accessing, analyzing and processing
the ever-increasing amounts of data, companies create By Daniela La Marca

14 August 2019 - Predictive Algorithms, Programmatic & Native Ads