While AI has been around for quite a while now, it has only recently expanded in more areas of activity due to the increase in data volume and expanding interest in analytics. Judging by the direction the digital world is unfolding, it’s more than likely that AI will be integrated into every technology in our lives. One methodology that is expected to cover ground on all levels is Omnidata Intelligence.
How do we define Omnidata Intelligence and why is it important to appropriate it?
Omnidata Intelligence is a business methodology responsible for extracting value from countless data sources. Nowadays, there are plenty of data sources available but few means for business owners to distill full value from the massive amount of data they have access to. But new problems inevitably spawn new solutions and Omnidata is one of them.
If we were to breakdown Omnidata intelligence, then we could safely state that it functions on 3 important components:
- The Specific Data
You have the option to separate specific data from bulk data. You no longer need to focus on a “data first” approach but instead, you can prioritize the solution you target and acquire only the practical results.
Before the simplifying of the data extraction process was introduced, focus was set on quantity and not quality. However, after understanding that each industry needs a certain type of data to thrive, data analysts centered their efforts on singling out what benefits a business the most.
- Key Experts
As with everything in AI, analytics and digital data, you need the right experts to help you decipher the acquired info. Usually, in order to gain value from business data, you need to have data science experts and preferably, domain and engineering experts.
Each of these three types of experts has their assigned role in the process.
While data science experts are the main branch of key professionals you need for data extraction, domain experts are your go-to people for every separate industry. Let’s say, for instance, you have analytics integrated in a Shopping Mall; it goes without saying that an expert in retail will be better suited to identify the relevant data. On top of that, add an engineering expert in the mix and you will have the advantage of building custom software and hardware integrations based on the data they gather.
- Intelligent Technology
Technology is constantly evolving and so are the users’ needs. The advantages of working with AI is that machines are always learning and adapting to new factors. Consequently, services such as analytics become more efficient in the long run and more practical to use, not to mention profitable for business owners.
What is special about omnidata intelligence in this respect, is that it can be built on the requirements of a specific type of industry regardless of industry or issues. Not only that but as a user, you’re also able to access the appropriate data. Nothing of importance is wasted.
Now that we know what omnidata intelligence is, how useful is it to apply it to various industries?
I’d like to focus on restaurants, shopping malls and hospitals since they are the main consumers of data analytics.
Restaurants
…have clearly seen an increase in customers from the moment they started using analytics. It pays off knowing what your customers order the most, when they order and even what their preferred method of payment is. Moreover, by making use of omnidata intelligence, owners can improve their restaurant’s efficiency in waiting time and delivering.
Data empowers restaurant owners to establish a goal and see how their business is evolving as it fulfills the restaurant’s daily functions. Managing the tremendous amount of data one gets access to, restaurants improve their competitive edge and increase their profit. On top of that, pinpointing the right kind of data keeps your clients loyal and brings in more consumers.
How does it work?
Simple! With omnidata intelligence, you can give a voice to your customers and pinpoint exactly what you need for better services. You’ll even liberate your staff of tedious chores. And most importantly, you’ll have access not only to more data but relevant data. Say for instance you have a new drink in your menu and you want to find out how it’s received. That feat is possible with omnidata intelligence. You’ll see reviews, votes and therefore make data-driven decisions in order to encourage revenue growth, increase performance and have a better grasp on your business. All digitized and AI-induced.
Shopping Malls
…however, bring in what we call “big data” and their analytics platform need omnidata intelligence more than any other industry out there.
With the help of this methodology, data can be segmented and divided into categories from which profitable value can be extracted. In other words, as a business owner, you can analyze, predict and influence your customer behaviour to gain considerably better profit.
Shopping Malls are a completely different business organism if we take them aside. They are a conglomerate of various shops, each with their individual businesses to run. What’s interesting about omnidata intelligence integrated into a wireless structure is clearly the amount of data that it’s capable of processing and the solutions it offers.
How does it work?
Shopping Malls come with their own challenges. While one of the main objectives is to maximize ROI, the rest are directly related to improving mall operations, elevate customer experience, optimize parking spaces and also, understand most profitable zones.
In shopping centers, one of the most important tasks is tracking the visitor’s purchase path within the physical venue. As a consequence, you understand the consumer’s brand preference and point of interest and you can measure each individual shop’s performance. At the same time, what omnidata intelligence enables is the privilege of enhancing a visitor’s experience by singling out the busiest areas in the venue and streamlining traffic. Additionally, personalizing offers will be done in the most targeted of manners and the influx of visitor engagement activities will grow.
The more you know your customers, the more your data-driven decisions are profitable.
Hospitals
…are in great need of analytics if not omnidata intelligence. Waiting time can be cut short, access to files easily obtained by medical staff and even making sure that treatment reaches the right people become possible. Integrating omnidata intelligence can solve cases of life and death situations and provide revolutionary services.
How does it work?
AI can help hospital boards keep an eye on their hospital performance, track patient progress, administer treatments, offer services and even allocate budgets. You can’t expect hospital staff to keep a constant business-oriented approach to their work but AI can do that for you. In this respect, hospital can achieve operational efficiency and a quality boost.
At times, we don’t know what the future has in store for us but sometimes we do. AI will conquer every part of our lives and the data analytics process will only become more complex. Our mission is to observe, integrate and adapt.
