Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

IoT World is getting trendier and fashionable with these Latest trends

xl-2016-internet-of-things-1

Let your treadmill pass on the data to your wearable hand devices that could be read on your smart phone with visual and analytics. Or how about you casting your mobile to Office projector while all are having their evening snacks and enjoying live cricket?

Let’s see what are the latest trends in IOT.

Welcome to Connected World!

Research experts like Gartner Say 8.4 Billion Connected “Things” Will Be in Use in 2017, Up 31 Percent From 2016. On the other hand, firms like Intel predicts that there would 200 million connected devices by 2020. With such a rapid growth startups and big firms are keen in observing the space. So, here we bring on the latest trends shaping the world of IoT [ Internet of things].

An Increase in Miniscule Products

Products like sensors and cameras may be little in existence, but the power they hold makes them sustainable in the long run. Smart homes, Smart cars, climate control, home security are some of the aspects that need these sensors and devices. In future, we may see them as default items in IoT world, but for now, they are the stepping stone and would create an impact in IoT domain.

Evolution of IoT Squares 

A very peculiar case of IoT is that the Amazon Prime video cannot be cast via Google Chormecast, the user needs to purchase Amazon Firestick if he must enable casting. With such a wide range of hardware and software list, users can’t be loyal to just one firm. Hence the need for gateways that allow software’s, hardware, apps, devices of various vendors to connect, interact and communicate without the need to change it.

These markets would not only help the users but the firms who want to want to automate their legacy equipment. They could just tap into industrial drivers, hubs, data visualization, monitoring and data mapping modules and reap the benefits.

Let the Data Do the Talking

Big Data is not an emerging trend anymore, but a default technology adopted by most of the businesses. However using Big data with IoT cloud could help many firms in making an informed decision. Just for example an insurtech firm could gather the driving behavior and pattern of his customer using sensors and could design a customized policy that suits his needs.

IoT Analytics is an upcoming trend, and many of the start-ups are eager to provide the optimum solution to other businesses.

Integrate IoT with Machine Learning

Machine learning is another emerging trend that experts are confident would change the future. But its benefits could be manifold if it’s integrated with IoT. Mantra’s innovative solution XAVI is the best example here. Just imagine you entering the home after a long tiring day and wished someone could switch on your lights tv and air conditioner. XAVI is a genie that allows you to do so with your voice or through a mobile app. As you get comfortable on your sofa, you could issue a command to list all English movie to be aired in next 15 minutes, and in no time, you could have an exclusive list of it on your tv screen. For more features click here.

It would also help firms in gathering data of individual usage patterns and would assist them in building more cognitive technology.

Security the Major Opportunity

With every new technology first question posed is – Is it safe? While many people believe interconnection could make systems more vulnerable to attacks, the opportunists believe it as a space to explore and come with a more robust solution to keep devices and data protected.

Read this article as well to get more insights on IOT

 

Cancel

Knowledge thats worth delivered in your inbox

10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot