Between 2018 and 2025, the global data analytics market is expected to grow at a whopping 37% year-on-year, bringing top analytics platforms head to head for a competition never witnessed in the history of technology. In this hyper-growth phase, Online SAS training for data storytelling and data visualizations have become the top skills to include in your bio-data.
In simple words, advanced data analytics would rule the Business Intelligence (BI) industry for the next 5-7 years.
Here are top reasons why you should focus on doing SAS online training for various roles in data management and visualization jobs.
Enterprise Artificial Intelligence: Making the Skills Count
Online training in SAS analytics takes you straight into the world of reality of Enterprise AI. The whole ecosystem is driven to achieve augmented human performance with AI tools embedded into modern IT infrastructure and software framework.
With SAS training in Enterprise AI, businesses can deliver more relevant, intelligent and automated solutions powered by the converged infrastructure of Machine Learning, Cloud Computing, Computer Vision and Natural Language Programming (NLP). Using these tools, any business can predict and sustain the competition, scaling their performance in an ever-changing analytics market.
Analytics and 5G Revolution
5G technology is on the verge of turning a ubiquitous topic of discussion for the next five years. Some SAS training bundles are focusing extensively at building 5G frameworks with AI and IoT at the core. As Edge devices and 5G computing get more powerful and mature with energy-efficient technologies, deploying online analytics platforms like SAS stand to completely transform the existing telecommunication market.
Big Data and the Fast-paced Predictive Intelligence Streams
Big data deals with working in a deluge of data. As every business has its own way of collecting and analyzing data in some way or the other, the demand for data analyst would only grow in 2019-2020. Today, the big data analytics market is driven at delivering faster, real-time decisions based on insights, letting businesses create a margin for high-quality Predictive Intelligence.
The global SAS analytics market can be segmented into following customer verticals from the industries –
- Banking and Finance
- Government and NGOs
- Telecom and 5G
- Healthcare and Pharmaceutical
- Marketing and Sales Technologies
- Cyber risk and Fraud Detection
- Retail and Merchandise Operations/ E-Commerce Management
Identifiable Challenges in the Data Analytics Market
Online SAS training also identified some risks and challenges in the market. These are:
- Ongoing technology gap in Big Data and Cloud deployment
- High cost of adoption for AI and Automation
- Technical faults and cyber risks
- Data governance and compliance policies
- Loss of employment/ Lack of SAS analytics skills
Challenges notwithstanding, the advanced SAS analytics would continue to usher.