Analytics for Business: Increasing analytical intelligence within companies has several advantages. Below are seven benefits that can drive business success.
Efficiency In Problem-Solving
Using analytical intelligence and knowledge to identify a problem, understand it, and find a solution involves the ability to see relationships and patterns and think logically. This ability in the IT area is a gem to leverage strategic business.
Increased Creativity And Innovation
Analytical intelligence is beneficial in the creative process by understanding the factors that led to a given result, developing new ideas, and promoting digital innovation. IT professionals with this skill can also identify potential obstacles and find ways to overcome them.
Improved Critical Thinking
Analytics often helps technology professionals understand complex information more easily. This can make it easier to identify the strengths and weaknesses of an argument or position and, based on the analysis, make more informed and assertive decisions for the strategy of the business operation.
Greater Connection Capacity
By its very nature, analytics allows seasoned professionals to see relationships between concepts that are not immediately obvious. This can be useful in many situations, such as when trying to solve a complex problem or understanding a new system topic.
Making More Accurate Decisions
Analytics helps IT leaders improve their decision-making skills by allowing them to think critically and objectively about a situation. This intelligence will enable technology managers to identify patterns and relationships and make inferences and predictions based on that information.
Prevention Of Customer Needs
Analytics helps companies better understand customer complaints. By identifying patterns in feedback, organizations can solve problems and improve their products or services, even before customers have the opportunity to express their dissatisfaction.
Improved Communication Skills
By analyzing and breaking down information, analytics can help IT professionals better understand the message being conveyed by the leader and the context in which it is being delivered. It also allows understanding of non-verbal communication, such as body language and facial expressions.
The Solutions Of The Future Based On Analytics
Due to the market movement to use data-driven tools, with the help of quantum computing and IoT, to transform accurate information into solutions, we can predict that the future of work will demand more and more IT professionals with analytical intelligence.
Combined with automation technologies and agile methodologies, analytics can revolutionize business by delivering unprecedented data value and solving complex challenges much faster and more efficiently.
According to a McKinsey survey that analyzed the technologies that have the most momentum in a world that is constantly accelerating, such as the one we live in today, solutions related to programming, connectivity, and automation are among the main investment targets for companies that want to keep competitive in the market and accelerate the performance of your processes.
Four Trends In Automation Technology
Technology is the great pillar for digital transformation, and, given the acceleration of digital solutions that the new coronavirus pandemic has imposed on organizations, investing in intelligent applications has become one of the priorities of CIOs. Among the four leading global trends in automation technology, we can highlight:
RPA
Robotic Process Automation (RPA) can improve the quality, speed, and productivity of processes, reasons enough to generate interest in companies under tremendous pressure to optimize their operation, mainly due to the impact on business.
Hyper-Automation
Used to scale an organization’s automation capabilities, hyper-automation combines RPA with machine learning to augment business processes. It is fundamental strategic automation for digital transformation as it is vital for organizations that want to adapt to this new reality of automation of repetitive tasks.
Low Code Platforms
Based on the drag and drop model, low-code tools provide more agility in software development and thus reduce delivery time to the customer. It is estimated that low-code platforms halve the time IT teams spend to create applications, reducing the area’s backlog and increasing the team’s engagement, which generally already uses agile methodologies.
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