Over the next three years, data and analytics programs will become even more mission-critical throughout businesses and across industries. The digital business future confronts leaders with almost unlimited possibilities to create business value. This transition requires moving away from the old mindset of siloed data, applications and analytics used for reactive reporting and basic analytics. Instead, leaders need to look at data as the raw material for any decision and consider that data comes from both within and outside the enterprise. Here are 10 data and analytics predictions to keep at the forefront for business decisions:
1.Core Data and Analytics: By 2019, 50% of analytics queries will be generated using search, natural-language query or voice, or will be auto-generated.
Advanced analytics and data science are fast becoming mainstream solutions and competencies in most organizations, even supplanting traditional business intelligence and analytics resources and budgets. They allow more types of knowledge and insights to be extracted from data. To become and remain competitive, enterprises must seek to adopt advanced analytics, and adapt their business models, establish specialist data science teams and rethink their overall strategies to keep pace with the competition.
2. Artificial Intelligence: By 2019, AI platform services will cannibalize revenues for 30% of market-leading companies.
Business and IT leaders are stepping up to a broad range of opportunities enabled by AI, including autonomous vehicles, smart vision systems, virtual customer assistants, smart (personal) agents and natural-language processing. This new general-purpose technology is just beginning a 75-year technology cycle that will have far-reaching implications for every industry. AI is changing the way in which organizations innovate and communicate their processes, products, and services. Practical strategies for employing AI and choosing the right vendors are available to data and analytics leaders right now.
3.Information Management: By 2019, 250,000 patent applications will be filed, including claims for algorithms—a tenfold increase from five years ago.
Information strategy is not a technology (or stack of technologies) that an enterprise can easily acquire. It is a long-term commitment to the exploitation of information for improved business outcomes. In fact, its importance has risen to the executive level. The increasing prominence of the role of the CDO is the most obvious indication of this. Information management and analytics are now about much more than architecting, integrating, cleansing, storing and analyzing data—they’re central to most organizations’ business strategies and demand significant attention.
4.Information Infrastructure: By 2019, 30% of organizations will use object storage as a data repository on-premises, bringing cloud architecture to the data center.
Modern information infrastructure will include data virtualization, the separation of storage and compute, and cloud-based data persistence. Data and analytics leaders must evolve their technology capabilities for digital transformation. An increasing pressure to manage data in multiple deployment models, while also optimizing its access and retrieval, is mounting and will guide modernization efforts in a way that will deliver optimal long-term value.
5. Data Security, Privacy, and Identity: By 2020, 30% of large enterprises will leverage snapshots and backups for more than just recovery, up from less than 10% in 2015.
In 2017 and beyond, achieving three important goals—privacy, safety, and reliability—will require strong planning and execution in the areas of security, privacy and identity management. IT leaders should consider these forward-looking predictions when allocating resources and selecting products and services.
6. Enterprise Content: By 2020, 95% of video/image content will never be viewed by humans; instead, it will be vetted by machines that provide some degree of automated analysis.
Enterprises are modernizing their content management infrastructures and applications to better support digital workplace initiatives. At the same time, emerging content management technologies and capabilities provide enterprises with the opportunity to leverage the trends associated with cloud, mobile and social. We assist IT leaders responsible for the enterprise content strategy with addressing not only how to manage content, but also how to use content in ways that promote productivity, efficiency, and business opportunities.
7. Internet of Things: Through 2020, lack of data science professionals will inhibit 75% of organizations from achieving the full potential of IoT.
The IoT is emerging as a key enabler of our digital future, and global spending on IoT—including all hardware, software and services—will increase in the next five years. However, the path to capturing benefits from IoT will not be a straight line. It will have many twists and turns as companies pursue big plans, hit roadblocks, learn and adjust. Some will give up, while others will follow through and realize the transformational potential the IoT can have in helping them become a successful digital business.
8. Smart Cities: By 2020, 30% of smart cities’ ambient care applications, related to, for example, medical/healthcare/nursing care, including proactive care, will have introduced smart machines and robotics in nursing care and medical facilities.
Smart city applications and solutions have become important in citizens’ user experience and can leverage IoT technologies to improve the quality of life. Strategists in smart city projects should consider the user experiences and how the solutions are being accepted by the citizens.
9. Mobile, Web, and Personal Devices: By 2020, over 50% of consumer mobile interactions will be in contextualized, “hyperpersonal” experiences based on past behavior and current, real-time behavior.
Mobile devices and applications are being used more frequently to support business-critical applications, requiring more stringent manageability to ensure secure user access and system availability. The following research provides insight for CIOs, IT leaders, application leaders and mobile app development managers into some key developments over the next few years for mobile devices and apps. The personal device market represents connected devices used by people during the day, at work, at home, to play or on the go. The personal device market is expanding with new types of products, such as wearables, linking with IoT endpoints and using immersive technologies.
10. Personal Technologies
By 2020, 5% of adults 65 years of age and older will have a personal healthcare robot.
The personal technology market has never changed as fast as it is changing today. This prediction will help technology product management leaders identify key trends regarding what and where the growth opportunities are in this vast and lucrative market.
To learn more about the future of data and analytics and the value for your business, contact Aligned.
