Trending February 2024 # “Celusion Uses Robust Data Analytics For Finding Patterns” Says Praveen Paulose # Suggested March 2024 # Top 4 Popular

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Ans. We are a software development company that creates business applications by utilizing cutting-edge technology. At Celusion, we work closely with banks and other financial institutions such as financial co-operations, stockbroking companies, and insurance companies to assist them in transforming their customer acquisition processes into fully digital channels enhanced with fraud detection software and real-time regulatory checks, giving them access to a top-tier technology platform in addition to credit evaluation and operations management processes. With our cloud-based, end-to-end lending platform, lenders can accelerate loan approvals and expand their customer segments by digitizing their loan process. We have developed solutions over the years with the help of our highly talented and creative team, who are dedicated to delivering in a demanding environment. We have collaborated closely with many clients to transform their businesses and increase operational efficiency with our core services such as Unified Account Opening, Digital Lending System, Sales Force Automation, Video KYC, SMS ConneXion, Single Sign-on Server, etc.  

2. With what mission and objectives were the company set up? In short, tell us about your journey since the company’s inception.

Ans. The journey has been thrilling and has set the stage for exponential growth from a modest beginning in 2004 with just two employees and a 200-square-foot office to about 100 employees and modern 3000-square-foot infrastructure. We’ve served various clients over the years, including the leading Indian corporations in the banking and finance sectors. Our endeavor to bring transformation to our client’s businesses and increase the efficiency of their businesses has been fascinating and intense. The philosophy that drives innovation in the Celusion team is “Possible is everything.” As a result, we are extending our operations to new regions to become a global business.  

3. Please brief us about the products/services/solutions you provide to your customers and how they get value out of it.

Ans. We develop technology that enhances customer experiences and fundamental business processes for the banking and financial service sector. Our platform covers every phase of the lending life cycle, and we provide tailored solutions to meet the particular requirements of our clients. The following are the main solutions Celusion offers: •Unified Account Opening: Unique customer onboarding instantly activates their Demat, Trading, Bank, Loan, or Insurance Accounts using one smart form. •Digital Lending Platform: Uses a comprehensive approach to loan origination and credit underwriting lifecycle to expedite loan disbursement. •Financial API Gateway: A gateway with more than 25 pre-built microservices for regulatory and fintech services for your service-oriented architecture. •Video KYC Platform: Video-Enabled Customer Identification Process (V-CIP) with a consent-based design created by legal requirements. •Sales Force Automation: A data-driven approach will help the clients boost conversions, gain real-time insights into activity, and successfully manage their sales team. •SMS ConneXion: A mobile messaging system that provides businesses with numerous SMS products and two-way messaging options. •Single Sign-On (SSO) Server: Workforce and customer identity management for web and mobile apps using industry-standard protocols.  

4. How do you see the company and the industry in the future ahead? 5. How does your company’s rich expertise help uncover powerful analytics and machine learning patterns?

Ans. Every product we offer at Celusion uses our robust data analytics capabilities to assist clients in finding patterns. Our state-of-the-art technology allows us to instantly and automatically create models that can analyze more extensive, more complex data and provide faster, more accurate results – even on a massive scale. We help organizations better identify lucrative opportunities or avoid unidentified risks by developing precise models.  

6. What is the edge your company has over other players in the industry?

Ans. Some of our guiding principles and beliefs that differentiate us from competitors are:

Built to Scale: We create applications fit for banks that scale horizontally to handle the load.

Resilient Architecture: Future adoption of new technologies is supported by our solution architecture.

Secure Apps: We adhere to OWASP standards and secure coding practices.

Technical Expertise: We produce top-notch software regardless of the technology.

Rapid Development: We’ve developed frameworks that facilitate a quicker Go-To-Market.

User Experience: Utilising a thorough understanding of users, we create experiences.

Domain Knowledge: Our knowledge of banks and financial services enables us to provide the best solution.

Or Ans. Celusion Technologies speeds up the onboarding process and improves credit decisions by connecting direct customers, sales, operations, channel partners, and credit teams. Our core services involve Unified Account Opening, Digital Lending System, Sales Force Automation, and Video KYC. Celusion Technologies offers hassle-free onboarding to its clients utilizing regulatory and AI-based Fintech APIs for identity verification, bank account verification, credit scoring, and other tasks. Not only that, but the platform can also assist businesses in handling high volumes. For instance, at its peak, a single corporation saw over 150,000 new accounts opened each month, 60% of which occurred in the final four days of the month.  

7. How can businesses efficiently extract the value from data, without increasing cost and complexity?

•Managing demand for third-party data and maximizing vendor agreements will be made more accessible with the help of a central vendor-management team that includes intermediaries at the business unit and function levels. •When it comes to data-management protocols, a lack of standardization can cause businesses to waste time looking for the information they need and increase inaccuracy when they use incorrect data. Therefore, organizations must update their fundamental data architecture to achieve the required outcomes. •Effective data governance reduces the time it takes to engineer data assets and increases their reusability, sustainability, and accessibility. •Report-generation processes can be refined by streamlining data consumption through rapid prototyping and testing cycles. This approach makes production streamlined across the organization, efficiently generating high-quality reports and metrics.  

8. What are some of the challenges faced by the industry today?

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Top 10 Data Analytics Consultant Jobs To Apply For In August

Data analytics consultant jobs are paying fortunes to work with data analytics in the market

Data science is opening a plethora of opportunities for millions of data professionals in the global tech market. The data-driven mindset in companies has started providing multiple data analytics consultant jobs as a part of consultancy jobs. Data analytics consultant jobs are also offering a wide range of consultancy jobs such as analytics consultant, analytics technical consultant, utility analytics consultant, and many more. Reputed companies are leveraging data science with a complete focus on data analytics. Thus, the companies are highly interested in offering data analytics consultant jobs with a lucrative salary package per annum. As it is well-known that data science is one of the hottest fields to work in right now, consultancy jobs are in high demand across the world. Let’s explore some of the top data analytics consultant jobs in August 2023 to apply for as a part of consultancy jobs.

Top ten data analytics consultant jobs in August 2023 Analytics consultant at Wells Fargo

Location: Bengaluru

Responsibilities: Ensuring accurate valuations and performing independent price verification processes for derivatives, with a focus on FX and commodity derivatives as well as interacting with technology teams to streamline IPV processes.

Qualifications: The candidate must have a Bachelor’s/MBA in Finance, Accounting, Statistics, Economics, or Business or CFA/FRM/CQF with 5+ years of experience in one or a combination of the following — valuations, analytics, and financial modeling. It also needs to know about capital markets products, preferably FX, and commodity derivatives.

Analytics consultant at Swiss Re

Location: Bengaluru

Responsibilities: Evaluating new data sources and datasets to drive innovation in portfolio analysis and model development, influencing the risk strategy through descriptive analytics and presenting recommendations to the business, and developing or maintaining dashboards that give competitive insights.

Qualifications: The candidate must have six years of industry experience with a quantitative background with expertise in visualization tools to build dashboards such as PowerBI, R-shiny, and ML algorithms.

Senior lead analytics consultant at Wells Fargo

Location: Bengaluru

Qualifications: The candidate must have experience in Analytics and Reporting, Financial Modeling, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, and education.

Analytics technical consultant at Adobe

Location: San Francisco/ Remote

Responsibilities: Lead customer discovery sessions with different business units within a customer’s organization and help guide use cases, business requirements, and key performance indicators. It is necessary to create and drive optimization test plans and strategic roadmap using A/B testing, multivariate testing, segment-based targeting, behavioral targeting, and personalization.

Qualifications: The candidate must have a Bachelor’s degree with a solid command of how Adobe’s technology and other digital marketing technologies and platforms work together to deliver personalization at scale. 4+ years of experience are needed with Adobe Experience Cloud (Analytics, Target, Audience Manager, and/or Campaign), a background in Adobe Experience Platform (Customer Journey Analytics, Real-time CDP, and/or Adobe Journey Optimizer).

Utility analytics consultant at Cognizant

Location: Chennai

Responsibilities: Analysis of customer business metrics, identification of gaps and suggestion of improvements, own and manage onboard, access and data management process, as well as gather business requirements, document and present it to clients for approvals.

Qualifications: The candidate should have worked for Utility industry clients (Electricity Gas or Water) in the past with a strong understanding of the complete data analytics function i.e., Data collection, cleaning and preparation/ data mining/ data modeling/ data analysis.

Senior consultant- data analytics at Genpact

Location: Gurugram

Responsibilities: Understanding business processes and potential risk scenarios with the ability to conceptualize appropriate logic for analyzing potential risk scenarios and understand requirements clearly and be flexible in learning new data sources and technologies, meeting tight deadlines, and delivering quality reports for auditors.

Qualifications: The candidate needs to be a Post Graduate in M.Com. chúng tôi (IT) MBA (IT) B.E. with relevant experience in the related field of audit business and financial analytics. There should be sufficient knowledge of analytical tools such as ACL, Qlikview/Tableau, SQL, and Alteryx.

Big data and analytics consultant at Google Cloud

Location: Bengaluru

Responsibilities: Work directly with Google’s most strategic customers on critical projects to help them transform their businesses, and provide management, consulting, and technical aptitude to customer engagements while working with client executives and technical leaders to deploy solutions via Google’s Cloud Platform. It is also required to propose solution architectures and manage the deployment of cloud-based big data and analytics solutions.

Qualifications: The candidate must have a Bachelor’s or Master’s degree in any technical field with seven years of experience in technical client service and three years of experience in project managing and delivering technical solutions.

Climate analytics consultant at ISS

Location: Mumbai

HR analytics consultant at Tech Data

Location: Mumbai

Responsibilities: Leverage available data to inform HR strategies and deliver key business objectives by using data to answer questions with appropriate statistical tests, hypothesis testing, and understanding of how to leverage insights for various audiences. 

Qualifications: The candidate must have a Bachelor’s/Master’s/ any PG degree in HRM, MBA, Organizational Psychology, Statistics, or related field with three to five years of experience using R, Python, SPSS, etc. 

Senior analytics consultant- Finance at Deloitte

Location: Multiple

Responsibilities: Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights, creating, managing, and utilizing structured and unstructured data stores, as well as facilitating the use of technology-based tools or methodologies to review, design, and/or implement products and services.

Qualifications: The candidate must have a Master’s degree in Finance, Accounting, Information Technology/ CAs / CPAs with mandatory technology like ERP, SQL, data visualization tools knowledge, and two to three experiences in root cause, gap analysis, best fit, requirements gathering, definition development, financial modeling, and value mapping.

Revamping The Retail Experience With Ai Analytics And Customer Data

Since reopening and adapting to changing consumer purchasing patterns, retailers with digital solutions in place — particularly AI-powered solutions — are using customer data to study evolving shopping habits in real time.

At Samsung, we’ve seen operators’ thinking shift — from simply how to reopen to how to engage customers in new and different ways. In order to compete with the industry’s behemoths, retailers need to create a satisfying customer journey that spans from online shopping to immersive in-store experiences. Blending online and in-store shopping into a memorable omnichannel experience is the next big thing in retail.

Immersive omnichannel tech with AI

With digital tools like in-store analytics, 3D modeling, intelligent displays and heat sensors, retailers are tracking customers’ behavior in their stores to up their service game. The goal is to make the customer journey — which often begins at home or on their phone — so intuitive and convenient that what they remember most is the enjoyable, safe experience they had at your store.

Personalize the customer journey

Many retailers assume they know how consumers move through their store or where shoppers spend the most time, but it’s hard to know for sure without the data. Heat mapping can identify critical opportunities in the conversion funnel and help retailers make well-informed decisions. Using AI-powered machine learning, FastSensor technology gathers traffic insights from physical data points inside a store and sends them to a cloud-based server. From there, the data sets are analyzed according to an algorithm and converted into actionable items that can be implemented inside the store.

Improve store safety with digital signage

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With this technology, sensors can “see” a customer in front of a certain item and then display relevant on-shelf messaging, such as discount codes, photos and reviews of the product, as well as complementary items, warranty offers or even a short video of the product in use. Businesses can build custom solutions based on their specific needs, growth goals and KPIs. Over time, FastSensor helps retailers gather, analyze and deliver data points, which you can use to continually reoptimize your displays.

Create, manage and distribute content

It’s essential that retailers deliver relevant, engaging and up-to-the-minute content exactly when their customers need it. Samsung’s proprietary content, device and data management system, MagicINFO, is a game changer for busy operators who don’t have time to manually troubleshoot every technical issue. With a single intuitive platform, you can create, publish and manage content in real time.

MagicINFO could, for instance, be used to announce limited-time offers, showcase new inventory, or alert in-store shoppers of an upcoming weather event. MagicINFO also allows retailers to automate tasks and schedule upcoming promotions. In addition, it can help lower costs, shrink your company’s carbon footprint and drastically reduce how many printed materials you use. The need for overhead drops too, as all content and displays can be managed from one single location by a single employee.

Through MagicINFO, operators can view real-time in-store analytics and detailed marketing performance reports. MagicINFO’s comprehensive technical support and regular software upgrades ensure retailers always have a robust marketing toolkit at their fingertips.

Maximize throughput with 3D mapping

Knowing how customers move about the store helps retailers create more interesting customer journeys, incorporating strategic points of engagement.

If a retailer discovers (through heat mapping, for instance) that their store layout isn’t fully optimized, they can use that data to reorganize the store. 3D mapping takes the guesswork out of store design and conversion optimization by allowing operators to compare detailed before and after analytics.

For example, grocery stores often place popular items like milk, beer and diapers near the back of the store to encourage impulse purchases along the way. When you know which aisles customers are most likely to use to get there, you can optimize your displays and messaging on those paths.

What’s next for AI and data in retail?

With AI-powered retail solutions, stores can blend the ease of online shopping with the convenience of picking up items in person — and that’s where Samsung comes in.

By integrating seamlessly with retail software, digital signage from Samsung can entice window shoppers to come inside, at which point heat mapping and sensors can track their journey and see where they linger and for how long. Smart displays can also boost upsells by providing relevant suggestions based on a customer’s location in the store, the time of day, season or other custom triggers — for example, recommending LED bulbs when a customer purchases a light fixture.

As brick-and-mortar stores evolve to take on new challenges, retailers have been forced to innovate. Embracing digital solutions will help them meet their community’s needs.

Get more tips on configuring and tailoring real-time messaging using an integrated CMS such as MagicINFO in this complete guide. You can find more innovative signage solutions for in-store shopping by exploring Samsung’s full retail display lineup.

Develop Career In Data Analytics With Tableau, Python, Excel And Mongodb

Today, data is an essential asset for any organization as it serves as a driving factor of business growth. However, managing the data requires an enhanced skillset which is indispensable to the well-being of a company. Thus, as all organizations rely on analysis and interpretation of data, becoming a

Introduction to Data Analytics Training Course

The introduction to data analytics offers learners an understanding of how to solve analytical issues in real-world scenarios. This beginner section of data analytics courses will give insights into applying data and analytics principles within a business. Learners can gain a deep understanding of the complete data analytics lifecycle, from problem definition to solution deployment. They will also learn how to define objectives for analytics projects effectively and be able to create an analytics adoption framework. Course Type: Online Lessons: 8 Content: 2.16 Hours  

Tableau Certification Training Course

With Tableau certification, students will learn how to develop visualizations, organize data and design dashboards to empower more insightful business decisions. Tableau Desktop 10 is a worldwide utilized tool for data visualization, reporting, and business intelligence. Through this course, learners will understand the concepts of statistics, data mapping and establish data connections. It will offer scholars to be prepared for the Tableau Desktop 10 Qualified Associate exam. Course Type: Online Lessons: 9 Content: 5.22 Hours  

Data Science with Python

This training course offers to expand the knowledge of data science with data analytics techniques using Python. It is an object-oriented programming language with integrated dynamic semantics, used primarily for application and web development. Through this course, learners will gain knowledge in data analysis, machine learning, natural language processing and can understand why Big Data Solutions are provided for Python. As Python is a crucial skill for many data science roles, the course will give a complete overview on it and enable learners master the essential tools of data science. Course Type: Online Lessons: 43 Content: 14.42 Hours  

Business Analytics Certification Training with Excel

In this training course, learners can boost their analytics career with powerful new Microsoft Excel skills. The Business Analytics course offers Power BI and its importance for data analytics. It also explores the statistical concepts that will assist practitioners to devise insights from available data to present their findings using executive-level dashboards. Learners can access this course for 1 year. Course Type: Online Lessons: 7 Content: 3 Hours  

MongoDB Developer & Administrator Certification Training

The course offers learning on how to install, configure and maintain a MongoDB environment as without a thorough understanding of this, the data science toolbox wouldn’t be complete. This MongoDB Developer & Administrator Certification Training course will help develop in-depth knowledge of NoSQL, data modeling, ingestion and replication. With this course, learners will master writing Java & Node JS applications as well as become MongoDB-experienced professionals. Course Type: Online Lessons: 7

Today, data is an essential asset for any organization as it serves as a driving factor of business growth. However, managing the data requires an enhanced skillset which is indispensable to the well-being of a company. Thus, as all organizations rely on analysis and interpretation of data, becoming a data analytic s expert will be an irreplaceable asset for any business. Data analytics assists in assessing raw data in order to make conclusions about that information. It can help in enhancing a company’s problem-solving abilities and data interpretation skills to drive better business decisions within an organization. So, to develop and boost a career in data analytics, most companies are now offering data analytics certifications and training courses. These training and certifications allow learners to deep dive into data analytics by learning different aspects and techniques of it. Here is the data analytics expert certification bundle, which offers different skills and tools through Tableau, Excel, Python and more. So, let’s get into these distinct training chúng tôi introduction to data analytics offers learners an understanding of how to solve analytical issues in real-world scenarios. This beginner section of data analytics courses will give insights into applying data and analytics principles within a business. Learners can gain a deep understanding of the complete data analytics lifecycle, from problem definition to solution deployment. They will also learn how to define objectives for analytics projects effectively and be able to create an analytics adoption framework. Course Type: Online Lessons: 8 Content: 2.16 HoursWith Tableau certification, students will learn how to develop visualizations, organize data and design dashboards to empower more insightful business decisions. Tableau Desktop 10 is a worldwide utilized tool for data visualization, reporting, and business intelligence. Through this course, learners will understand the concepts of statistics, data mapping and establish data connections. It will offer scholars to be prepared for the Tableau Desktop 10 Qualified Associate exam. Course Type: Online Lessons: 9 Content: 5.22 HoursThis training course offers to expand the knowledge of data science with data analytics techniques using Python. It is an object-oriented programming language with integrated dynamic semantics, used primarily for application and web development. Through this course, learners will gain knowledge in data analysis, machine learning, natural language processing and can understand why Big Data Solutions are provided for Python. As Python is a crucial skill for many data science roles, the course will give a complete overview on it and enable learners master the essential tools of data science. Course Type: Online Lessons: 43 Content: 14.42 HoursIn this training course, learners can boost their analytics career with powerful new Microsoft Excel skills. The Business Analytics course offers Power BI and its importance for data analytics. It also explores the statistical concepts that will assist practitioners to devise insights from available data to present their findings using executive-level dashboards. Learners can access this course for 1 year. Course Type: Online Lessons: 7 Content: 3 HoursThe course offers learning on how to install, configure and maintain a MongoDB environment as without a thorough understanding of this, the data science toolbox wouldn’t be complete. This MongoDB Developer & Administrator Certification Training course will help develop in-depth knowledge of NoSQL, data modeling, ingestion and replication. With this course, learners will master writing Java & Node JS applications as well as become MongoDB-experienced professionals. Course Type: Online Lessons: 7 Content: 17 Hours

Top 10 Data Analytics Trends Of The Industry In Recent Years

This article lists the industry’s top 10 data analytics trends of the industry in recent years

Data collection and analysis frequently play pivotal roles in shaping the future of each new market segment, whether it’s the healthcare industry, decentralized work, an online company like Amazon, an online customer service network, or even an online banking service, in an era when the business landscape is rapidly changing.

A couple of the key patterns driving the present speeding up market remember propels for Enormous Data Analytics, Data Science, and Artificial Intelligence that is changing how organizations stumbled into the world. The data analytics industry is steadily expanding as more businesses implement data-driven models. When the COVID-19 pandemic broke out, more and more industries started using data analytics to predict what would happen in the future. This made data analytics even more important in this process. To enhance, simplify, and enhance the use of data, analysts and businesses are increasingly collaborating.

Information examiners give off an impression of being in a thundering ebb lately with a consistent ascent in the quantity of information expert work postings. In this article, we’ll look at the top ten trends in data analytics that have changed how we deal with education, economics, the environment, and how we use data to make better decisions.

Let’s take a look at some of the Data Analytics trends that have become increasingly important to the business over the past few years.

The Top 10 Data Analytics Trends in Recent Years: 1. Artificial Intelligence: 2. Data Democratization:

Information democratization means to enable all individuals from an association, paying little heed to specialized mastery, to connect serenely with information and to examine it unhesitatingly, at last prompting better choices and client encounters. Today, organizations are embracing information examination as a central component of any new venture and a key business driver.

3. Edge Computing:

With the coming of 5G, edge figuring has set out an abundance of open doors across a wide cluster of ventures. In the world of edge computing, computing, and data storage can be moved closer to where the data comes from. This makes the data easier to manage and more accurate, reduces costs, makes it easier to get insights and take action faster, and makes it possible to carry out continuous operations.

4. Augmented Analytics:

One of the most prevalent trends in predictive analytics today is augmented analytics. Machine learning and natural language processing are used in augmented analytics to automate and process data and extract insights from it that would normally require the expertise of a data scientist or specialist.

5. Data Fabric:

The information texture is a bunch of structures and administrations that give steady usefulness across different endpoints that range various veils of mist and convey a start-to-finish arrangement. We can scale it across a wide range of on-premises cloud and edge devices thanks to its powerful architecture, which establishes a common data management practice and makes it practical.

6. Data-as-a-Service: 7. Natural Language Processing (NLP):

NLP is one of the numerous subfields of software engineering, semantics, and man-made consciousness that has been created throughout the long term. This field primarily focuses on how computers and human languages interact, specifically on how to program computers to be able to identify, analyze, and process a large amount of information derived from natural languages, thereby increasing their intelligence.

8. Data Analytics Automation:

Data analytics automation is the process of reducing the amount of human involvement in analytical tasks by using computer systems and processes. Many businesses’ productivity can be significantly improved by automating data analytics processes. In addition, it has laid the groundwork for analytical process automation (APA), which is known to assist in unlocking predictive and prescriptive insights for quicker wins and a higher return on investment (ROI).

9. Data Governance:

The process of ensuring high-quality data and providing a platform for enabling secure data sharing across an organization while adhering to any regulations about data security and privacy is known as data governance. By executing vital safety efforts, an information administration procedure guarantees information insurance and expands the worth of information.

10. Cloud-Based Self-Service Data Analytics:

8 Awesome Uses For Google Maps Street View

Everyone knows how useful Google Maps can be. But to most people, Google Maps Street View can feel like nothing more than a novelty.

Table of Contents

Let’s take a look at the 8 most useful uses for Google Maps Street View.

1. Use Google Maps Street View to Explore Vacation Spots

Imagine you’re planning your family vacation to the Smoky Mountains in Tennessee. You know there are wonderful places to shop, hike, and go dining. But how do you find the best ones?

Sure, you could depend on Google Reviews or Local Guides, but why not visit the locations you’re interested in before you travel there?

To do this, use Google Maps to find the town you want to visit. Then switch to Satellite View and zoom into the location with all of the stores, dining areas, and other attractions. Then drag the Street View icon (the little yellow person) onto the map at the street location you want to explore.

One of the most frustrating parts of traveling is putting restaurants or attractions on your itinerary that sound great online, but once you get there the neighborhood looks terrible. Exploring your vacation spot ahead of time with Street View ensures that you’re taking your family to environments that are always exciting and fun.

2. See How Places Have Changed with History View

Google has been sending their camera-topped vehicles around the world for many years. That means that Google has stockpiled an impressive collection of historical photos of many places.

In Street View, you can select the small timer icon just under the location address. You’ll see a slider bar under past photos. Slide the bar back to the year you’d like to see and then select the photo to zoom in. 

For local historians, this is a fantastic way to see how places have changed over time. For town administrators and politicians, it’s an insightful way to see how local town investments have changed the community (for better or worse).

For environmentalists, History View lets you examine how clearcutting or other commercial interests have negatively impacted the natural landscape over time.

Keep in mind, however, that you can’t predict what season Google has captured its photos. So comparing things like the natural landscape can be more difficult if the seasons between two photos are different.

3. Explore Your Future Apartment’s Neighborhood

Apartment hunting is hard. You need to make sure apartment features include things that matter to you. The cost needs to be right. And the schools and local economy are also important.

But one thing you can’t see in an apartment listing is what the community around that apartment looks like. 

This is where Google Maps Street View can help. 

Type in the address of your potential apartment, and then drag the Street View icon onto the map.

Exploring the neighborhood using Street View gives you lots of insights you normally can’t get from an apartment listing.

Are the neighborhood streets and sidewalks kept in good condition?

Do you see older cars or garbage outside local homes?

What do residents walking along the streets look like? Does the neighborhood look dangerous?

Is the outside of the apartment building or home in good repair?

You’d be amazed how much insight Google Maps Street View can offer into your future rental choice.

4. Relax to Scenic Views Without Using Gas

There are some breathtaking views all around the world, just waiting to be enjoyed. Sure, you could invest in airfare, a hotel, and a rental car just to see those views. Or, you could type in the location and explore those views in all their grandeur while sitting on your couch.

This isn’t the way one would always want to travel, but after a long and stressful day at work, wouldn’t it be nice to use Street View to take a drive along the famous Kancamagus Highway in the New Hampshire White Mountains? Or explore the Sierra Nevada Mountains in California?

Or if the ocean is your thing, you could take a virtual scenic drive along the Atlantic Ocean Road in Norway.

Watch the seagulls soaring, the waves rippling, and the sun shining as you coast along with Google Maps Street View.

The only thing missing is the ocean scent blowing in through your open windows.

5. Explore Abandoned Places with Google Maps Street View

If exploration is your thing, then you may want to turn to exploring abandoned places with Google Maps Street View.

Across the world, there are historic towns that are lost under the sands of time. You can see old brick and stone banks or jailhouses visited only by the ghosts of the past in abandoned towns like Thurmond, West Virginia. 

Or head overseas and check out the ruins of the Eilean Donan castle in Loch Duich, Scotland. 

You can catch glimpses of abandoned theme parks, castles, asylums, prisons, and much more.

This kind of exploration with Street View requires a bit of sleuthing, as often the exact locations of abandoned places are not always publicly available.

But if you can track down the location, you can call up Google Maps Street View to drive by and catch a glimpse. If you’re lucky, other people have visited the location in person and left actual photography in Google Maps for you to get an even closer look.

In most cases, you’ll find many trailhead locations (where you’ll usually find a parking lot) located right on Google Maps itself.

Other times, especially for less popular trails, you’ll need to switch to Google Maps Street View and explore the area until you find the trail.

Street View lets you “drive around” virtually to find the location long before you waste your time searching for it the morning of your hike.

Save the location to your Favorite Places list so you can access it from your phone when you’re on the road.

7. See Augmented Reality Walking Directions With Live View

While it isn’t exactly “Street View”, when you’re walking around a town or city, you can get a similar view on your phone with directions to get where you need to go.

This is called “Live View”, and it’s a real-time augmented reality alternative to Street View.

To access this feature, just open the Google Maps app and select the three lines to open the Menu. Scroll down to Settings and select Navigational Settings. At the bottom of the menu you’ll see Walking Directions. Turn on Detailed Voice Guidance.

Now, when you’re in Google Maps and select walking as your mode of transportation instead of driving, Live View will launch and a voice will give you turn by turn directions on how to walk there.

8. Travel Internationally On a $0 Budget

Have you ever wanted to see the Beaches at Normandy, the Louvre in Paris, or The Great Pyramid of Giza?

Google Maps Street View gives you access to all of these amazing places, and you don’t have to spend thousands of dollars for a plane ticket to get there.

Just follow the same procedure as above. Type the location into Google Maps, and then place the Live View icon as close as you can to that location. Then press and hold the mouse to look and explore in every direction.

You will be amazed at the breathtaking places around the world that you can explore. And even when you think you won’t be able to get close enough to get a good look, you’ll discover that tourists who visited that location before have left some amazing photos tagged to that Google Maps location.

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