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Knowledge Management, Business Intelligence, and Analytics

With an ever increasing volume of available information, how can one keep up and make use of it? And with so many tools, how can one differentiate between them? The Isseo team of developers has combined innovation with practicality to provide an all new way for you to find the right resources. We designed a highly sophisticated system that allows users to relocate your data in the cloud, while still allowing easy access via a mobile connection or directly from your desktop computer. Information simply has to be accessible – gathering, managing and utilizing information is an inevitable part of running any modern business. If you can’t get it, you can’t manage it, and if you can’t manage it, how do you effectively communicate your message? Two industries we serve with information management: Business Intelligence (BI) and Knowledge Management (KM). BI provides the tools and techniques to gain insight from data and information, especially those stored in various structures such as databases and retrieved on different platforms. KM is about creating, keeping, sharing and applying knowledge through business processes.

Business Intelligence and Knowledge Management Differences

The Different Issues Concerning the Creation of Artificial Intelligence

Artificial intelligence has had a profound influence on the world, and has the potential to change how we live and work. AI has affected many aspects of our lives, from how we communicate with each other to planning the course of our careers. By 2030, artificial intelligence will account for 2% of the world’s GDP, but will create nearly 15 million new jobs in areas such as data science and cybersecurity. The rise of intelligent machines could have an impact on everyone as we increasingly rely on them AI (Artificial Intelligence) is a powerful computer technology that mimics behaviors and decisions of human, thinking. AI evaluate all the things on earth, including heart rate, voice and motion to track speed, distance and direction in real time. AI can also be used in cars and trains to reduce crashes, detect terrorists before they strike and improve manufacturing processes, to prevent accidents which can cause loss of lives. A number of companies report that their applications of this technology have increased their productivity by up to 40% over the past few years.

How can healthcare systems engage their patients digitally?

Many healthcare systems have digitalized almost everything from booking appointments, paying doctor's fees, follow up check-ups, incentive, and prescriptions, etc so that patients don't have to wait in long lines.

Why Patient Feedback and Insights Are Important for Healthcare Systems

Patient feedback and insights help healthcare centers improve their services and treatments according to the needs of each patient.

How do clients perceive businesses that advertise on Facebook?

What is the Pillar Content and How to Use it to Grow Sales

Retail Pricing: How to set the price Right?

Especially in retail, in the fierce competition, price is quite sensitive.

Pricing is one of the most important decisions that a retailer can make. A pricing strategy dictates how much money a business will take in, and if it’s done incorrectly, it can lead to lost revenue and unhappy customers. So how do you set retail pricing so that it’s fair for both your business and customers? In this blog post, we will discuss the various aspects of retail pricing and the different strategies you can use to determine the best price for your products. We will also look at some of the key factors to consider when creating a pricing strategy and highlight common mistakes to avoid.

The Benefits and Challenges of Agile Methodology

Agile project management is one of the most popular approaches to project management today. Agile project management has been of great use to many project managers because of its flexibility, evolutionary nature and adaptability to changing environments. Agile is a development methodology that encompasses flexible, incremental and iterative approaches to software development. It focuses on building minimum functionality and quality into each iteration and striving as much as possible to achieve continuous improvements in the process.