Contact Us
×

Category: Analytics

What Are Important Ways That AI Is Helping E-Commerce Stores?

Posted on by Imarticus Learning

 

The Ecommerce Industry

The e-commerce industry has proved to be a boon for all the shopaholics who are too lethargic for a regular brick and motor engagement. Growing in double digits the expansion in the e-commerce industry is unmatched by any other and with the potential to grow multiple folds in the coming years it has set new highs.

In a broad sense of things, the concept behind the e-commerce world is simple, creating on the online market place with multiple stores available to shop anytime using the means of smartphones and other computerized devices that support web surfing.

The virtual market is not bounded by geography, having its customer base all across the world. What’s different about this shopping escapade is that it makes the entire store available for you to facilitate your shopping spree, all with a few clicks. I wonder how many times it happens that I am not sure about what exactly I need to purchase unless acquainted with the varieties available.

Now if we have to walk by several stores to find out what could be bought it will be tiresome, to say the least. Let’s assume that we somehow managed to step into each of them, how will we compare all the available products in real-time? That’s where the e-commerce industry adds value and steals the show with convenience.

The e-commerce stores not only help to bring everything together but also helps to search select and choose by providing valuable suggestions and insightful product descriptions. It also lets you read into the feedback provided by the users of the products that might help you buy better.

In the tangible world, we have a shop for every need, we have shopping complexes for multiple segments. This evolution went a little further in the era of the internet with e-commerce where we have all the product segments from all the known brands under a few keystrokes.

AI applications in the e-commerce industry

While shopping at stores with a physical address on the map, what attracts the most apart from quality goodies is the presentation and organization of the products.

Similarly when buying goods online what helps increase engagement and purchase? The answer is better to search for tools and classified product segments. This is where AI fits into the e-commerce must-have tools.

The high-tech AI-enabled solutions can also help in searching product descriptions and other relevant details to form a variety of keywords that might match the user’s search and help discover the product better. This doesn’t stop here, the AI-powered solutions also help with product selection by asking some intelligent questions and narrowing down the list for us.

At times it so happens that we know what we are looking for but the name is unknown to us and thus we feed in a variety of keywords to complete our search. The predictive search mechanism provided by Artificial Intelligence training uses the past search and purchases history helping us identify what we might be looking for with relative ease saving a lot of time and keystroke efforts.

Arrangement of products and tidiness are some of the key drivers of customers in the traditional brick and motors store, how do you implicate this approach online? Well, the answer doesn’t require a brainstorming session, it is through the website design.

Making the website aesthetic needs a well-planned web design that not only looks good but also goes along with the objective of the website. From optimized website design testing to improving decisions with auto traffic analysis & better sales funnel structuring, AI delivers on all aspects of customer conversions and engagement.

In present-day scenario conversational chatbots are mainstream for better customer servicing, it could also be seen as a norm, whatever site you visit for your purchase you are bound to be greeted by a bot. This evolution has propelled further with a new wave of intelligent sales chatbot. This new AI by-product is hyper-personal in their functioning, providing customized recommendations and suggestions for better conversion.

Conclusion

AI has improved the e-commerce industry to a great extent by providing better search options for product searches to suggesting an optimized website layout for better conversions. Apart from the mainstream chatbots for customer servicing this new AI wave has welcomed the trendy sales chatbot that uses customer preferences data for good by providing customized and hyper-personal shopping experience.

How Big Data Fits In With The E-Commerce Customer Engagement?

Posted on by Imarticus Learning

Briefing the Big Data

If you are reading this wearing the glasses you ordered online, chances are that big data has some role to play in your purchase. If you are unfamiliar with the concept of big data reading the following piece of content here is going to add a whole lot to your knowledge base.

Big data can be understood as a big pile of the database that is amassed over time from various sources called data points, the big data helps in the identification of patterns, trends, and aid in providing useful insights for businesses and other parties in possession of the data. It is generally valued by big corporations to target their customers with ease.

The Virtual Customer

Big data is the norm today no matter what industry are you in, Big Data Training is the ultimate solution in the age of digital data and global consumers. Sales is a smooth sail in the digital ocean, courtesy of the big data!

The digital world has a new way of marketing things, different from traditional means of marketing the online and digital marketing expenditure has different components to it in terms of cost for content and creatives to lure in the targeted customer.

So how do you quantify and asses the performance of your marketing expenditure in the digital world? Well to address this query we have to dive deep in the concept of customer engagement in the dot com world. So customer engagement here unlike the traditional methods of marketing is counted through likes and comments and online traffics on the website.

Among the countless boons of technology, the one counted among the giants is enhanced globalization and making the concept of the world as a global village come to life. This has helped a lot of organizations to increase its customer base globally.

Talking about the businesses whose sole existence is credited to the merits of technology, e-commerce has a lot to be thankful for. Anyone who can connect to the World Wide Web could be a prospective customer.

To determine if you can target the one visiting the world wide web to come to visit your store needs a lot of insight about the visitor’s taste and preference his past track record of purchasing a product and the general trend of things, this is where the big data fits into the picture.

Big data boosting Ecommerce

What has been observed today is that customers are missing the human touch which can be understood in a sense as a personal attention deficit that the traditional brick and motor stores provide to a great extent. In the cutthroat landscape of eCommerce, you can’t just go with one size fits all approach, you have to style your market in a customized fashion making it more personalized for people visiting your E-stores.

Today the customer’s willingness to pay is not just limited to providing quality products, in the contemporary the game has changed altogether, people see everything as an experience, the better you polish that aspect of the business the more probability there is to gain a fair share in the market and retrain the customers.

Big data has amassed the data about all the variables that could possibly affect a buying decision. From personalized gifts to customized loyalty programs it delivers upon all the aspects of personalization that will generate new customers and will help retain the existing ones into the customer list.

Research has also shown that those who are using big data tools for their e-commerce business are likely to be more productive and efficient in their functioning. Big data not only delivers for the sellers on e-commerce but it’s also a magnificent time-saving tool for the customers as it helps them in a lot of aspects, from finding the right product to choosing the best fit.

Selling online is a different story, the big data pumps your marketing by only targeting those who matter based on the past records of purchase and preferences, and this naturally increases the conversion rates and the return on the marketing expenditure.

Conclusion

Big data is a game-changer for the e-commerce business segment given the presence and deep penetration of the digital world. Personalization of products and other customized services is enhanced to a huge extent with the application of big data.

How To Improve Your Supply Chain With Data Visualization Techniques?

Posted on by Imarticus Learning

Simplifying Supply Chain Management

If you have ever ordered a tangible good and got it within the stipulated time it’s because of a good supply chain management process in place by the company you ordered from. Supply chain management entails how a product is transferred from point A to point B, where point A is the place of storage and point B is the customer’s delivery address.

Supply chain management starts from the grassroots level, from sourcing raw materials needed for production to delivering it to the end consumer it covers every aspect of the product movement. The people working to manage the supply chain process have to carefully monitor the entire flow of goods and have to devise a strategy to help propel efficiency and productivity in the process.

The process has in its purview various sub-segments like sourcing, demand planning, inventory management, and logistics, the aim is to make the process smoother by individually focusing and renovating outdated methods of sourcing and distributing products to the end consumer.

The benefits of supply chain management range from increasing efficiency, cost minimization, and profit maximization to better demand planning.

All your e-commerce shopping expeditions are made possible because there is a supply chain process working 24 * 7 to facilitate your shopping spree.

What are data Visualization techniques?

With the advent of big data and the demand to present it to probable beneficiaries, the importance of presentation and formatting of data is utmost. It helps to weed out the unrequired information and highlight the ones that help the end-user to gain better insights.

The end goal of providing any data to the user is to allow them to gain valuable insights and take action using the same. Data visualization training deals with how to present the data in an attractive format to grab the user’s attention in a jiffy and help them to implement changes through the knowledge obtained.

Data digestion is important for the end-user to act upon the information, with so much information available on the World Wide Web, obtaining useful data can be tiresome and lethargic. The challenge for the data developers is to make it catchy for the eyeballs.

According to psychologist data visualization techniques help the user to learn better, photographic memories tend to last longer than plain texts.

Externalities like bad weather or accidents have a major impact on the timings of delivery and transportation of goods. To take into account such external factors the data visualization techniques help in mapping the geography and its indigenous externalities based on past records that might influence the transportation and shipment process.

Data visualization techniques for SCM improvement

Data visualization techniques help to improve and renovate the supply chain dynamics on a macro scale of things. Supply chain management has various components, from demand planning to doorstep delivery, everything can be perfected with data insights.

Let’s understand how data visualization improves supply chain management. So if we trace back to the core of the supply chain it all breaks down to identifying the perfect routes. Data visualization techniques can help to identify and demonstrate the details of the route and the alternatives present transport a product from point A to point B.

Plotting the complex relationship between various data points related to supply chain management through network charts and flow charts the pictorial representations enriches the content of the data.

Now the data regarding the routes might include the distance covered, time taken, traffic congestions, road construct, etc. So for identifying the perfect route, you have to factor in for all these elements and then reach a conclusion. How tiresome will be to dive deep into the subject matter? There come to visualization techniques that will help to put out the information in a precise manner catering to the needs of the user.

According to various research related to data visualization, it was found that companies are spending more on the use of immersive visual ecosystems to better their data visualization for the supply chain management. The benefits of the same have been reaped in the form of better inventory management and improved performance.

Conclusion

The implications of data visualization techniques in the field of supply chain management are enormous. From reducing time to analyze complex data to making more informative changes in a complex variable scenario the data visualization technique has changed the supply chain management landscape drastically. Improving the duration of transportation and delivery of products based on data insights factoring in various elements that might affect the situation.

What Are The Analytics Apps To Reduce Operational Costs At Production Facilities?

Posted on by Imarticus Learning

What Are The Analytics Apps To Reduce Operational Costs At Production Facilities?

Introduction

Digitization has taken over the world with a storm. With numerous benefits, it has proved to be a boon for all sectors in which data is involved. Data analytics is shaping the world in which businesses are evolving. It makes data much more than stored figures. It brings out various trends and patterns of different segments of society. Data analytics courses can help businesses increase their revenues in multiples, optimize costs, Improve efficiencies, make cumbersome business processes much more simple and also using data in ways one could have never imagined.

Applications serving the purpose

Mobile applications have increased the use of data analytics. People use their mobile phones all the time thus making it easy for businesses to acquire a lot of individual-specific data daily. The app-space is huge and is coming up with innovations every second. Not a single area has remained untouched with this huge growth. From Real Estate to food, everything has analytics involved. This innovation has not left production facilities untouched. Analytics is making work at production facilities a cakewalk. Some of the major applications which have their hand in making work easy at production facilities are listed below.

  1. Dozuki

Dozuki is a standard work software that has changed the way the production space operates. Dozuki is dominating the visual learning platform by analyzing various trends and making videos on work instructions like repairing a car, opening a refrigerator, operating a piece of particular equipment, etc. This app makes use of images and video clips that are interactive and translates them into work steps and procedures. It is a very convenient application with a simple user interface. It is packed with everything you are looking for in a production-based application. It removes the complexities of a classroom training program where one can easily forget the basics of a particular procedure. The feedback option in the application is quite effective and the users can give their inputs on how they want their procedure videos.

  • Limble CMMS

The machine count in a production facility is huge. To manage all of the machines together is quite a difficult task. It is a maintenance software that a production facility needs. It monitors machines, equipment, spares and every other aspect which comes under such facilities. It keeps the machines running smoothly. Also, it optimizes the manpower cost which is involved in operating such giant facilities. This application is also rich in video content giving relevant information on manufacturing processes such as extraction, polishing, etc. It also has a simple and easy to use interface. It keeps a constant tap on the performance and productivity of machines. Such kind of applications also helps people to keep a tap on the physical maintenance of machines thus saving a huge cost which production facilities would have incurred on a sudden breakdown of any equipment.

  • Microsoft Power BI

This is a powerful analytics tool that can give insights on every aspect of a production facility. It can compile a huge amount of data on different processes and bring out relevant conclusions and process rectifications. The visuals are easy to understand and provides an in-depth understanding of various processes. It can automate the whole process by running various reports and publishing them in pre-decided time frames.

It removes the complexities of manual processes and makes production an error-free and smooth experience. This application has multi-fold benefits. It saves time and generates reports which can be easily deciphered by the people working in production facilities. Various metrics can be formed and tasks can be monitored with the help of automatic alerts. This helps people on maximizing the returns from the production function. In the end, everything is about optimizing costs and increasing revenues.

Conclusion

With every passing day, data is becoming a part of our lives. Analytics is shaping the whole world into a data-driven economy. With its increasing benefits, it is elbowing its way into all sectors and businesses. The production business is squeezing out everything it can and making the best use of data analytics in its day to day functioning and will eventually make itself a data-driven function that works on digitization and analytics.

What Are The Ways Big Data Is Changing The Healthcare Industry?

Posted on by Imarticus Learning

Introduction

Big data is the new elephant in the room. One can do nothing but notice how fast its applications are increasing and talk about it. Big data has made use of such information which was collected through various systems but was never used. It is evolving with every passing day thus making itself a lucrative investment for companies who want to survive and flourish in this era of globalization and innovation. Big data analyses huge chunks of data a matter of seconds, thus drawing useful insights and also saving time, money and human effort.

The Healthcare industry

The health care industry includes everything from drugs to hospitals, diets to well being and a lot more.  The commercialization of the healthcare industry is growing at an alarming rate. It is one of the fastest-growing sectors involving almost the whole population of the world and loads of money thus forming almost 12% of the economy of any developed or developing nations. This segment has huge potential which was untapped until now.

With big data and analytics taking over the world, the healthcare industry has evolved tremendously. From medical insurance companies to drug manufacturing giants, all of them are minting money by using their data to the fullest, extracting out details one could have ever imagined.

The Healthcare industry and Big Data

The application of big data in the health care world has proved to be again for both – the parties providing services and the parties receiving the services. The big data uses the health data of millions of people to create a digitally empowered market. The big data has served its purposes by controlling harmful epidemic diseases and also curing millions of people. The major application of big data is in optimizing cost structures.

Various hospitals analyze the patients’ data available with them, finding out the intersecting points, working on them and saving millions. Various drug giants analyze their data with the help of big data thus improving their supply chain operations efficiently and increasing the reach of the medicines produced by them.

The health insurance market is a crowded space. The doctors make use of data to understand a particular patient, his medical condition and possible disease thus helping in curating the best insurance plan for that particular individual. This data also helps doctors in new findings and figuring out new innovative ways to cure diseases. Also, big data has not only made the analysis of data easy but also the collection of data a pretty convenient.

Data analytics also provide individuals like us to keep a tap on our general well-being and health. Various applications like Google fit keep calorie counts and heart rate information in data bits helping an individual to monitor his activities and also helping these big companies keep track of the lifestyle of their consumers.

Big data analytics training is helping hospitals to make staffing decisions so that they have an adequate number of people available when the hospital is oozing with patients. Also, this helps in tracking the hospital supplies and inventories like local painkillers, surgical equipment, surgery wearables, etc. It keeps the whole ‘Hospital-Ecosystem’ in check. It also helps in tracking real-time information and providing feedback on patients’ health regularly thus making the job of a doctor pretty convenient. Big data has brought the whole healthcare industry on a digital platform where details such as the medical history of a particular patient can be figured out in a fraction of seconds.

How this data is used by the Government

The government uses this data to chalk out the healthcare strategy for a particular country it belongs to.  This data helps the government in figuring out the number of hospitals, medical supplies, etc. needed by its people. This data can also be used in educating people about the benefits they can avail in terms of health care and well-being.

Conclusion

The healthcare is growing and this growth is not going to stop anytime soon. Like all other industries, big data is driving this growth and transforming the healthcare industry into a whole new world thus improving the decision making process and optimization of costs.

How ISPs Are Using Analytics To Help Customers?

Posted on by Imarticus Learning

The world is driven by big data

Big data is everywhere. Businesses of all tastes and flavours are getting their hands on this mega resource to make their businesses competitive and also to gain useful insights that can shoot their operations to the zenith of success. Big data is loaded with multiple benefits. It churns up the data to bring out conclusions hence, giving a huge helping hand in making vital business decisions.

What are ISPs?

ISPs are nothing but people you need for the smooth functioning of your daily necessity: The Internet. Internet service providers are companies that provide internet services across various geographical locations so that people can access and use the web. This market is dominated by both large and small local players. The big players have the internet lines managed independently by them. The big players of this market are companies like AT&T, Netcom, MCI, etc.  These days a new group known as the online service providers has also come into the picture. They manage all of their operations through online mode.

ISPs and data analytics:

Internet service providers like any other sector are utilizing the applications of big data and making the most of it. Big data has become a profit-driving point for these companies. With the help of big data, the geographical boundaries are analyzed and then the reach of the internet and strength of signals and network concerns are also brought into the picture.

Analysis of data is done based on these parameters and then the expansion of business is carried on after several tests on feasibility, accessibility, etc. These providers use online advertisements to advertise their services, hence collect information based on clicks on the ads, their page staying time and their page abandonment time.

ISPs are using big data to have access to a gold mine full of data. Using analytics, possible customers are tracked down and then presented with an ad based on their individual preferences and search histories. These ads are curated automatically with the application of analytics. This data also helps in providing better customer experiences.

These service providers with the help of big data overcome the bottlenecks of Internet services such as network speeds, connectivity concerns, etc. Also, big data helps inefficient capacity planning and brings out operational excellence. Such mechanisms help these providers to foresee any upcoming issues and glitches which can make the users compromise on their user experience hence, solving it beforehand and providing a buttery smooth surfing experience.

ISPs are providing a next-level user experience with the application of big data and analytics. ISPs are using big data to mitigate a lot of problems and extracting the best out of what is available. The area which is compromised on a little is data security. Though the services providers are extracting out all the goodness of big data and giving an upgraded the internet experience to its users the data entered by its users are on huge servers floating, ready to be pounded on.

Data security is one of the biggest concerns which is bothering individual users. Users regularly feed information of personal importance and relevance to their smartphones and laptops. The data thus entered has no specific, safe place to go. It wanders in an unrestricted environment which can be extracted by anyone.

This problem is being tackled by big data to a certain extent but is being worked on so that the improvements can be made at a really quick pace in the area of data security and privacy of the users. Only data can protect data. Thus, these gaps are being filled up gradually by exploring more and more avenues of big data in this dynamic sector.

Conclusion

Internet service providers and big data are moving hand in hand. Both of them together are capturing consumer behaviour and extracting information out of it at an all-new level. Though there are certain limitations the ISPs and data analytics courses are jointly brought into force to eliminate such hindrances and emerge out with more upgrades. ISPs are sailing quickly and analytics is the captain of the boat driving it towards the island of growth dancing along the waves.

How Do A Big Data Help In The Insurance Sector?

Posted on by Imarticus Learning

 

Understanding Big Data

The concept of information is power puts data into the center of progress, data today is the real deal. How exactly to put together the concept of big data? Well, the name is very suggestive and builds a clear picture as to what it could be.

Big data can be understood as a big, complex & voluminous database that contains a variety of information regarding everything and anything that generates some kind of information. The data sources are ever-growing and the velocity of data from these data points is magnanimous, adding tons of data every second to this existing large database called the Big Data.

So what’s the use of collecting this data from every source available? In the digital age, we are consuming a huge amount of data on a daily basis, courtesy of the internet. Whatever we search on google is available because somebody tried to store it and upload it for the use of masses.

Now while using the internet we don’t just consume the existing data but create new data sets which could be in the form of anything ranging from our names, contacts to our web history. The three V’s important to the formation of the big data are Velocity, Volume, and Variety.

Why fuss over the big data? Well because the big corporations are ready to kill for it! Big data provides much-needed insights into customer preferences and their data history which can help them inefficient targeting of customers and better their sales and marketing revenue.

Big data scientists gather specific information and the technical know-how while preparing to enter the industry of data science, they use big data for providing valuable insights to the firm. The big data analytics training has helped boost the career prospects of people from the IT space. One of the reliable programs is the big data Hadoop training course which is curated by Hadoop industry experts.

Implications in the Insurance industry

If you had the power to predict something with high probability on the basis of the past track records wouldn’t it be fruitful? That’s how big data help every industry in general that needs a past track record to implement changes in the future functioning. Broadly, insurance ranges from general to automobile & healthcare which is further broken down into sub-segments depending upon the industry.

The most obvious use of big data in insurance is customer insights based on the information gathered from the customer since this is a generic one applicable to every industry it’s easily understood. Let’s take an example of the automobile insurance so the information relevant to pricing the insurance policy premiums and add-ons depends on various factors like safety level in the buyer’s vicinity to their historical driving record. The insurance firm can accordingly charge different buyers with different rates as the degree of safety is very subjective and also the driving habits of people vary.

Where do insurance companies fail? If you go in a little deeper into the subject you’ll find that the level of fraud related to an insurance claim is paramount resulting in loss to insurance providers. Now the case of moral hazards is very prevalent and people often see insurance as a total safety net so they don’t even bother to maintain a minimum safety standard.

Big data steps in to identify a probable false claim based on the history of the party claiming an insurance amount, the level of fraud has come down drastically owing to big data in insurance.

What all can go wrong for any particular scenario of insurance? These scenarios are also developed with the boon of big data. This helps in better premium pricing and reduce the chances of a surprising claim for unaccounted factors.

Conclusion

The term big data is very suggestive of the work it performs and what it holds in its reals. Containing the massive amount of databases from each and every data point, big data paves the way for future based on the historical records of things. Among the numerous applications of the big data, the Insurance industry seems to be gaining a whole lot from the insights that this mammoth entails. From reducing the cases of insurance fraud to pricing the premiums of various insurance policies given the subjectivity of the user, the big data is shaping the insurance industry for a better future and better profitability.

How Big Data Can Help Boost Sales?

Posted on by Imarticus Learning

How Big Data Can Help Boost Sales?

Selling in general

Sales form the backbone of any organization. You need the revenue to soar up in order to quench up your profit maximization quest, that is what every capitalist aspires to do. No matter how good is the product or the services of a company, it will only grow the bottom line if it gets a good top line, i.e. sales.

Ever wondered how do salespeople close the deal and how do they manage to convert clients on the basis of leads? Well, the process is long and complex, it needs a lot of dedication and commitment to stay at the top of the game. If you ask a salesperson how did they manage to work wonders with a mere lead, the general response will be that they identified the needs of the customer and aligned it with the benefits provides by the products/ services they were selling.

A good salesperson knows the customer inside out and for that, you need to spend a considerable amount of time and money tracking the whereabouts of your customers and maintaining a personal relationship to some extent. You have to be a detail-oriented person who knows the nitty-gritty of things and is able to use the information to your benefit.

Sales in times of the big data

Sales in the times of the data revolution have changed drastically and more in favour of the salespeople easing their work with technology and insights. The above-mentioned approach to sales was commonplace until big data became the next big thing and technology evolved to complement this transition.

In the present scenario, whatever you need to know about your customer is available at your fingertips, thanks to big data. Name, number, email, address, etc. have become very generic and no efforts are required to gather the same. More advanced data about particular preferences, be it food habits or their personal hobbies everything and anything is available for those who use the World Wide Web and smartphones.

It doesn’t matter how insignificant a piece of information is, big data stores everything it can. Mostly the insignificant information about individuals combines to form a meaningful database that helps to obtain statistical inferences about a hypothesis.

For salespeople the big data is like a personal genie, they don’t need to wait long hours for meetings that might not even be relevant at the slightest in hope of conversion. Big data helps to boost sales by allowing salespeople to act upon the customer data available.

Big data Analytics Courses help salespeople by providing the required database to analyze past data and optimize their pricing given the demand and supply of the product or the services. It also aids in providing better visualization of the data to put in the right context. Other uses of big data in sales can be understood by the compelling case studies of the consumer.

What’s necessary for better conversion? Well, a good marketing stint of course. Marketing has evolved drastically over the past decade, with big data marketing that has eased the pain for salespeople through better targeting and advertising of the product and services offered.

From making predictions about what can sell well to designing the products that the existing customers need, big data helps a whole lot to make sales easier and more predictable than ever. Big data is also used to shape customer preferences.

The big data serves a special purpose for companies that are starting up and early in the process, it helps the companies to analyze data generated by the peers in the industry who already have been there for a significant amount of time and then helps to identify the loopholes and design their products and services better.

Conclusion

Sales are the backbone of every organization. You need revenue and profits to continue and grow your business empire, most of the expenditure related to operations is financed by the revenue generated through sales. In today’s scenario, big data plays a crucial role in increasing sales and in turn profitability of an organization. It helps the salespeople to target the right customer and design products more aligned with the needs of regular customers through its data insights.

What is the Role of a Business Analyst at an E-learning Company?

Posted on by Imarticus Learning

What is the Role of a Business Analyst at an E-learning Company?

Wondering what a BA would do in an e-learning company? Truth be told, the role of a Business Analyst is to do the business analytics-BA for the e-learning company and understand the business intelligence-BI behind the brand, the firm’s strategies, and how analytics can help improve efficiency and productivity of the company.

Gaining knowledge of BA is best done through a full-time Business analyst course so you not only learn the theory but hands-on practice implanting analytics, using the various tools, catching trends, predicting insights and more.

Just remember that it is the domain that changes and not the skills in business analytics. Besides the e-commerce process is just a product of the organization involved. Hence we need to understand the role of the analyst. Let us delve into that right away.

One can expect the role of the analyst in an e-learning company to include Estimation, creation of SOW, Requirement documentation, Planning, WBS, Design Review, UAT support, Test Case review, maintaining and preparing Product Backlogs, besides monitoring of the SRS, User Stories, RTM, UML, BPM and such.

Why Training is Important to the Business Analyst

BA enables the business to stay ahead of the competition curve by playing the intermediary between areas of the business and the IT requirements by taking stock of the business needs and requirements in terms of its IT infrastructure and business goals improvement and solutions for improved continuous solutions and enable the business to deliver marketable products and stakeholder value. It is not just one skill but a variety of skills needed across dealing with volatile market conditions, ever-changing technologies and human beings in between who need a dedicated person to suggest solutions that match and are progressive at both ends of the spectrum.

The analyst brings efficient and cost-effective solutions to the table that lead to more productivity and thus profits. And how he does this is exactly what is taught in the Business analyst course. The course also helps them get certified and thereby present a measure of their skills to validate their learning.

What else will the Analyst need?
Firstly let’s look at the skills required. Most analysts need a graduation degree and a variety of soft-skills like detail-oriented accurate and factual reporting, consultative, interpersonal, and facilitative oral and written communication skills to be client and stakeholder facing.

Innovative problem solving can help them hit the ground running in recognizing and resolving issues between the business and IT processes including the underpinned technology, databases, networks, engineering requirements, process modeling, business structure, analysis of stakeholders and much more.

Besides this, the list of technical skills required will be job dependant and the tools include MS Excel, Access, PowerPoint, SQL, Google’s Analytics and Tableau, data analysis, and visualization techniques and tools. Tables, drawing tools, graphs, etc. can make your presentations more attractive.

Continuous learning and certifications like the PMI, IQBBA, IIBA, IREB and Scrum are highly desirable and help one work better. So, why would one want to do so much? Just look at the lucrative offers and demand forecasts and decide if you want to throw your hat into the ring.

Demand, Scope and Salaries:
As per Indeed, companies like Fidelity investments, Merck, Flipkart and such across domains have and continue to recruit analysts. The role of a Business Analyst is lucrative and one can earn an average salary range starting from 17,779 Rs /month up to the average annual salary of 5,55,792 Rs for a Sr Analyst with a few years of experience. The Labour department in the US’s BLS report predicts a 14 percent growth in these jobs by 2024. No wonder these roles are so sought after.

To be the efficient buffer between cross-functional teams doing a Business analyst course is vital and will involve learning Agile and Scrum principles and practices. Besides enhancing your CV and resume they impart invaluable skills and actual practice under the tutelage of certified trainers to help one hone skills and practice real-life applications to industry situations.

Concluding notes:
We have seen above how the role of the analyst can precipitate effective foresight, insights and predictions that can help with reporting, cost reduction, monitoring, creating new strategic business models, planning and regulatory requirements, variance analysis, importing data, business decision support measures, understanding KPIs, forecasting, budgeting and financial analysis.

The analyst brings his BA domain knowledge to effectively help ease conflicts and hindrances between the IT and other core areas of business in e-learning companies. Companies like Flipkart, Amazon, Alibaba and more use the e-commerce platform as their USP. The skills of the analyst are important and the various domains they work in is proof that it is only the area of operations that change.

What is the Future of Scrum Master?

Posted on by Imarticus Learning

What is the Future of Scrum Master?

Someone who facilitates the functioning of an agile development team is a scrum master. Scrum is a technique that enables a team to organize themselves and make necessary changes rapidly, all in compliance with agile principles; essentially the exchange of important data through an agile medium.

Post completion of a scrum master certification course, this is exactly where a scrum master fits in, by managing the process of exchanging data seamlessly. Both the front and centre function of growth is handled by a scrum master, who also ensures the team is at the peak of its performance.

He also performs various roles such as a coach, motivational speaker, mentor or manager, to solve and manage the problems that occur during the development stage of a product.

While most skills are learned on the job, a scrum master certification course always helps in paving the way for a bright future. Here are the future career prospects for a scrum master:

● Take the role of a mentor- This is the perfect role for a scrum master who has learned that his ultimate passion lies in the creation and development of a product, often regardless of what kind of a product it is. A scrum master who enjoys the process of product development more than the actual creation of the product is a good fit into the role of a mentor or an agile coach to train other aspiring scrum masters.

Not only does he get the opportunity to impart the knowledge he has gathered from his experiences so far, but also gets to tackle newer challenges as well. It also helps the team he is leading, to become more self-sufficient to improve their organising capabilities.

● Become a product owner- Some scrum masters realize that they are more interested in their team’s collective effort of creating a product rather than the process that goes into creating it. These scrum masters are becoming excellent candidates for taking up the responsibility of product ownership.

Often most of them learn so much about the product, it’s market, target customer base, and other requisites in the process of building it, that this alone leads them to become excellent product owners. Most product ownership roles require a certification, hence a scrum master certification course may come in really handy.

● Become a development manager- Without exerting too much authority on their teams, scrum masters become skilled in leading teams and providing guidance. While most scrum masters work closely with team managers, if a scrum master’s skills are on point, in terms of both technology and management, he would definitely be a good fit for a development manager or in fact with relevant experience even a team director.

● Consultant in a financial services firm- An experienced scrum master is a good fit for a consultant role at a financial firm. Along with enabling agility, his job would also include self-management in his team, while bringing up the quality of work delivered and increasing productivity.

He could also increase cooperation among teams and the management while also putting his coaching abilities to use to guide the software product, development teams.

● Consultant in a marketing firm- A scrum master can move to a marketing firm as a consultant and structure teams to develop planning and budgeting, release and execution of plans, managing issues and resolving them, work-related project controls.

He would also be responsible for monitoring their status and providing them with hands-on guidance while sticking to schedules, budgets, and scope of work. An experienced professional who has completed a scrum master certification course also facilitates the creation of the key product of the company. Often he is the one held responsible for guiding the team to create and maintain backlogs, as well.
A scrum master can follow multiple paths by either choosing to become a mentor, manager, product owner or just work with more difficult teams. The abilities learned in becoming an excellent scrum master will definitely come in use while always leaving enough room for improvement.