
Data Management
The 5 Biggest Trends In Data Analytics For 2021
By TechDogs Editorial Team

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Overview
Surely, you have heard of the greatest detective in the world. He can identify a person's gender by their handwriting and a pilot by his left thumb. So, what allows him to analyze and draw conclusions from the information he observes - apart from Dr. Watson, of course! The Mind Palace - a memory tool for visually organizing the tiniest of details and looking at the big picture with the collated information.
Organizations are adopting Data Analytics technology at an unprecedented rate. Experts predict that the Data Analytics framework will grow five times by 2025. Data Analytics is working in tandem with Artificial Intelligence and Edge Computing to become a new way of life for organizations worldwide. Join Sherlock and Dr. Watson to uncover the mystery of the top 5 Data Analytics trends of 2021.
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Data Analytics is for sure Sherlock Holmes’ territory and you’ve been called in to help uncover 5 Data Analytics trends that will be popping off in 2021 and beyond. Data Analytics are the eyes and ears of any successful organization. It doesn’t take a rocket scientist to realize you can’t do too much in the dark when you can’t hear or see! A greater understanding of the market is what helps businesses, “Keep up with the Joneses.” Is it elementary? Actually, it's a bit complex and extremely important.
Data Analytics is important to businesses because inspecting and modeling data helps them make insightful business decisions. To be successful, companies must rely on modern trends to get the most out of their data from the data analysis process. So, do you think you’re up to it? If so, it’s time you get to cracking this case.
Make sure Detective Holmes doesn’t forget his pipe on the way out! Here are the top 5 Data Analytics trends in 2021.
Trend 1: Artificial Intelligence - Smarter Than Ever Before

First, Machine Learning!
Machine Learning is a computer model that helps predict outcomes based on past data. It allows decision-makers to obtain the best possible insights from their data and leverage it in the most compelling way possible. According to a report by Gartner, organizations will be more able to use ML algorithms to their advantage in 2021.
Second, Artificial Intelligence!
The need for scalable, more responsible and smarter AI is in high demand in 2021, so you can expect to see the rise of what is called Decisions Intelligence, a branch of AI. Decision Intelligence refers to any organization's use of AI to help their decision-making process in 2021 and beyond.
TechDogs’ Opinion: Decision Intelligence is an arena where Data Science and AI keep the key decision-makers in an organization well informed. They do so through combining data modeling with social science, decision theory, and managerial science. You can expect to see a surge in AI applications soon as organizations will need data to pivot quickly in the ever-changing world of business growth.
Trend 2: Customer Data Platforms Will Continue To Rise In Demand

Under a Customer Data Platform (CDP), everything from customer information to data sources comes together. It’s no mystery that with the mass digitization of 2020 came the increased need for Customer Data Platforms. Any time a customer engages with a brand, data footprints are left behind. You see, my dear Watson, organizations must get a full 360-degree view of their customers' entire journey so that the customer journey becomes smoother and more personal. In so doing, customers are more likely to return to brands they feel connected with, which is why CDPs that improve this process will become ubiquitous.
TechDogs’ Opinion: So, what's in store for CDPs in the near future? Businesses will have better insights into their customers' behavior, allowing them to interact and connect in a more meaningful manner. Customer Data Platforms will collect and unify everything - transactional data, digital interactions and customer attributes - to build unique customer profiles. A better customer experience means a more successful business. This trend is truly a win-win situation, Watson!
Trend 3: Data Analytics And Edge Computing Environments Are Coming

Data Analytics, local and in real-time, is what organizations want and they want it now! Edge computing helps the analytics process to become smarter as early as possible. (Sounds like a tutor sent from heaven!) This means edge computing allows devices to act on analyzed data quicker than you can say, “Where’s my Sherlock?!”
Organizations often rely on the cloud to send their data, which means there will be some lag in response—edge computing virtually eliminates any lag. This makes for fast decisions driven by data. Speaking of driving, take a look at autonomous driving to see what edge edge computing really has. Autonomous driving and traffic management need reliable technology with the lowest latency possible to quickly analyze traffic and driving conditions and decisions, often in milliseconds, which is where edge computing comes in, reducing lag that might otherwise lead to an accident. You and Detective Holmes can get in that self-driving carriage without slamming on your ghost brakes—no teenagers in this car!
According to T-HQ, Keith Higgins, VP of digital transformation at Rockwell Automation, said that “Integrating edge functionalities with existing cloud infrastructure will mean less worry about logistical IT considerations and instead, more focus on rethinking what’s possible in a smart machine.”
TechDogs’ Opinion: In 2021, you can expect to see edge computing systems managed by public cloud providers continuing as a popular trend. Data Analytics will slyly migrate from a secondary activity to a fundamental business role and be a shared corporate asset tied to business outcomes. Businesses may improve their intelligence and Data Analytics but the security concern must not be overlooked. Furthermore, with remote working still prevalent, the demand for enhanced speed, efficiency and collaboration may drive the adoption of edge-based solutions.
Trend 4: Graph Technologies Are On The Rise

Graphs help piece together relationships between places, people, locations and events.
The modern Data Analytics world is connected by graphs and boy, does it make the world go round the x and y axis! Graph forms can strengthen and augment user collaboration, explainable AI and machine learning models.
Now you may be thinking, “Graph technologies? Hasn’t that been around for a while?”
Yes, it has. However, the whole paradigm of how they are thought about is quickly evolving. For instance, many organizations are looking at how AI and graph technologies can work together and benefit the company through better visualizations.
According to Gartner, graph technologies will be employed in 80% of data and analytics breakthroughs by 2025, which will allow companies to speed up their decision-making like never before.
TechDogs’ Opinion: We will see a substantial increase in the use of graph technology during the next 3-4 years. New graph technologies can sift through vast volumes of documents, research papers and other data to derive valuable conclusions and deduce relationships across data sets. When used in business, graph analytics may help firms identify problems early on, generate accurate forecasts and make data-driven decisions. Hence, any use of graph technology in the future will more than likely have an AI component.
Trend 5: Analytics And Composable Data Are Growing

That’s right, my dear, Watson: composable data and analytics are the knights in shining armor for any business looking to make faster, more informed decisions that will positively impact their operations.
Surely you have heard of composable data infrastructure, Watson! It means on-demand availability of necessary resources (computing, storage and networking) virtually and are managed by software tools through web-based services. No more relying on old hardware systems!
According to Gartner, there’s a destination in mind when it comes to composable data and analytics. The goal is to use Artificial Intelligence and analytics for a flexible, user-friendly experience that will enable businesses to connect business actions to data. This will allow for an unprecedented ability to make business decisions quickly and accurately with increased agility and productivity.
TechDogs’ Opinion: So, what do you have to look forward to in 2021 with regards to this trend? Data analytics and composable data will promote global collaboration and advance the analytics potential by making analytics more accessible to remote workers. Businesses will manage all IT-related services from a single location with composable infrastructure, as hardware won't have to be added separately. Resources such as storage and compute will be quickly provisioned to support emerging applications.
This Case Has Been Solved!
Post-2020, organizations have entered a new era. The need for Data Analytics to be faster, smarter and insightful has never been more pertinent. These five trends, including graph technologies, Artificial Intelligence, composable data infrastructure and customer data platforms, address this need – not just for now but beyond. The last few years have surely made us aware just how valuable consumer data is to businesses. Businesses will continue to use data analytics to recognize changes in consumer behavior, just as they did last year, which validated the value of Data Analytics.
Congratulations, you’ve cracked the case! On to the next!
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