Data Modelling in UAE
How important is Diagnostic and Analytics Data Modelling in UAE Competitive Landscape
Data Modelling in UAE
How important is Diagnostic and Analytics Data Modelling in UAE Competitive Landscape
The Evolutionary Path of Data Modelling
Data modelling in UAE plays a core role in the growth of any business, there were times when diagnostic and analytics data modelling was not in existence and businesses used to strive in finding the potential investors for their growth. Bankers also needed more objective information to shape their investment and lending plans which was based on facts and data.
Did you know?
According to report, about 40% of new business are expected to create data, analytics and AI based business in next 5 years.
However, when the first data modelling firm Dun & Bradstreet, was established in 1933 it revolutionized the way companies look at data. Dun & Bradstreet used simple form of modelling by collecting, analysing and selling data. More and more businesses started to understand the worth of data modelling in their business growth over the time. Not just that, it also made analytics data modelling in UAE a premier choice of business for many new and existing firms.
The four technological transformations
that evolved the process of data modelling over time in an efficient and economical way are,
Advanced technologies and tools
Have always played vital role in the process of data modelling over the time. It became easier to re-use, manage and access data via various platforms with the help of these technological resources.
Generative AI
Is the most advanced form of Artificial intelligence which has completely transformed the way data is structured. It is not just cost effective, easy to use but also provides efficient data management.
IOT Devices
Are multiple connected devices together to make data easily accessible to users over multiple paths. It also replaced the old methods of sensor technology.
Use of data product
Increased the business escalation by providing clean, processed and structured form of data, such as KPI’s, dashboards. Which further helped users in prompt decision making for competitive advantage.
Shaping Data Models
with Generative AI:
A Paradigm Shift
The role of artificial intelligence in any institute is praiseworthy,just like that Gen AI has radically changed framework for data management. It produced virtual agents that were capable of running and looking after over-all services. They were smart enough to take autonomous actions that were sometimes even overlooked by humans. Gen AI, embedded data in a way that it was available on the fingertips of employees through various channels, systems and processes.
The introduction of Quantum sensing techniques helped to generate more precise data. It can calculate physical
quantities with extreme precision, which remained helpful in various fields whether it was medical or automation. This shaped form of data became a core component in diagnostic and analytics data modelling in UAE.
Since, Gen AI used low-code or no-code it was easier to managed and operated by anyone. It helped the companies achieve more than expected profits by properly executing, managing and providing a profitable outcome through the data.
Did you know?
According to survey 65% of the organizations are using Gen AI on day to day basic in at-latest one of their business
operations.
As Gen AI is advancing across the globe, UAE is quickly embracing generative AI in various sectors to boost business operations, and promote economic growth. UAE has made significant investments in artificial intelligence industry and it is expected to attain market value of US$4,285.00m by 2030.
With the ongoing investment in talent development, UAE can be competitive in utilizing generative AI for Long-lasting development and economic uplift in this digital era.
From Data to Dominance:
Data Modelling
in the
UAE's Dynamic Market
United Arab Emirates has established as a top player in regional business and innovation. The UAE’s competitive landscape have come a long way focusing mainly on the advanced technologies for Business progression.
Diagnostic and analytics data modelling is one of the critical factors that help the country in implementation of robust technologies in business practices. This data modelling in UAE contributes in multiple ways which results in economic growth.
Did you know?
UAE Ranked first in Arab region and 7th in globally in the IMD world Competitiveness booklet 2024 issued by the world competitiveness center of the world institutes for management development (IMD)
Taking better decisions by data modelling supports companies in the progression, the industries of healthcare, finance and real estate fuels most of the economy of UAE. In these industries a proper data framework plays a vital role, Diagnostic analytics facilitates enterprises in understanding the commercial trends and exceptions while analytics data predict forthcoming developments. In turn, decision making becomes easier through this categorized data.
Optimized operations are produced by modelled data, it monitors & recognizes the inefficiencies and evaluates the performance in real time in result comes up with efficient solutions. This contributes in specifically the logistics industry which requires prompt response and efficiency to produce profitable outcome. As of 2024, UAE is heavily investing in the growth of logistics infrastructure, it consists 14% of UAE’s total economic production. With this rise in logistics sectors a better and enhanced data modelling is required. Therefore, Diagnostic and Analytics data modelling helps improving the operational functions which enables firms to remain competitive in the market.
Boosts the technological growth by promoting Innovation and Competitive Superiority, it advances the automated systems and AI algorithm, which has been UAE’s main focus in past few years, Dubai’s Smart City project is one of their leading modern tech-based initiative, because of that United Arab Emirates has become a leading tech hub in the middle east.
Facilitates companies in mitigating risks and threats of growing market. Modelled data comes up with robust strategies and help understanding the root cause to compete with these dangers. These strategic decisions and analytics-driven models specifically strengthens energy and real state sectors where fluctuations and regulatory changes can lead to a huge downfall.
Generative AI's and Data
Modelling Dilemmas
Since, every plus has a minus, there are some challenges that even a modelled data can face, for that, efficient and professional data leaders are required, let have a look at these dilemmas,
Inaccurate, incomplete, or unreliable data is one of the major obstacles, data that is collected from multiple and some times un-authorized links can result in misleading insights, diminishing the effectiveness of data analytics procedure.
Data is gathered in assorted, un-structured formats and designs which makes it quite challenging to integrate, to manage this data, significant time and resources are typically consumed, frequently causing delays and inconsistencies in the analysis and data transformation.
Scaling data arises as a concern as data quantity rises. Hence, retaining consistent performance and scalability becomes a major hurdle. Gen AI also fails to handle these large datasets.
Did you know?
From 2020-2030 data volume is expected to increase 10 times, making it even challenging from firms ro scale the un-structured tremendous sum of data.
Security and Privacy concerns are compromised sometimes, when AI driven data models handle sensitive data, therefore the industries such as finance and health care must ensure that these Gen Ai do not miss handle data.
Overcoming these
Dilemmas with SS&Co
Under the umbrella of SSCO, it becomes our utmost priority that our client’s data is not just modelled precisely but also managed in a confidential way. We collect data from multiple authentic sources, and structure it in a methodical manner, this fosters your data needs for diagnostic and analytics modelling. Some of the data modelling in UAE services we provide are
- Data Storage & Management Assessment
- Data Analytics Strategy & Automation
- End-to-End Data Visualization Solution
- Enhancing the legacy BI/DW Solution
The support provided by our team of experts ensure smooth integration for data validation and transformation. On top of that, through our cloud infrastructure and multi-threaded processing, even higher volumes of data can be managed effortlessly!
Meet the Expert
Sidra Salman
Managing Partner
Sidra Salman, Managing Partner at SS&Co, leading fintech innovation with trust and expertise.
