Showing posts with label big data analytics solutions. Show all posts
Showing posts with label big data analytics solutions. Show all posts

Friday, August 21, 2020

Market Intelligence and Product Engineering the Two Pillars of a Successful Business

We talk about any business that either solves a query or gives a solution to some problem through its products and services. Thus, the business needs to understand the need of the market and the right solution that would fulfill its purpose of earning great ROI. For the great ROI, it is required to launch in the market a product that is engineered to perfection to resolve the problem the business aims at.  



In short the success of your business product depends on market intelligence, and product engineering

Let’s talk about one at a time. 

Market Intelligence

When talking about MarWhenket Intelligence, it can simply be explained as gathering information based on various data sets, analysing the information gathered, breaking down the gathered information into small sets, and distributing it over various channels. 

Big data analytics is a major part of marketing intelligence that helps experts to have an idea what would work in the market. 

Product Engineering 

The process that involves the ideation of the product to its deployment to the clients or in the market and regular updates is product engineering. To step in the market with a solution that can help you be in a win win situation you need a product engineering service providing company. It is important you reach the right team so the idea is conceived and implemented perfectly. 

Now that we have understood the definition of both the pillars that would turn your business to a success, let’s explore the importance of each of these. 

Why Market Intelligence Is Important?

Market Intelligence is important because it gives you an opportunity to explore the chances in the market. This helps you understand and realize what your customers need, and what could be their possible reaction to your new product. 

It also helps you reach your target market easily with various communication channels. With Artificial Intelligence based solutions integrated with your business you can always engage your customers better and have their reviews. 


The major reasons why experts suggest to have a market analysis are: 

  • Better understanding of the market and its trends

  • Comprehensive value proposition of your product

  • Analyze the need of the product in the target market

  • Realize the right marketing campaign to reach the consumer base

  • Enlist the channels of product distribution

  • Find opportunities of expansion in the market

The features, design, functionalities, operations, and some other aspects of your product are the result of market intelligence based analysis itself. 

Why Product Engineering Is Important?

To come up with a product that satisfies the result of market analysis, one needs to hire a product engineering service that is reliable and trustworthy. It is a product engineer who would work right from the ideation to launching of the product. The complete process would include taking care of the product design, development schedules, testing results, and deployment. 

Product engineering helps businesses hit the market with a solution that is meant to gain popularity. Also, it helps businesses achieve the following: 

  • Come up with a product that would satisfy the results of market research

  • Include new features in the product to beat the competition

  • Introduce customized products to meet the technological, social, and cultural needs of the customers 

  • Reduce the operating cost of the product and its risk of failure in the market.

Thus, it is of great importance to hire an expert to help you build a product that would be your identity in the market. With a dedicated development team, we at A3logics ensure to deliver you products that would help you expand  your business several fold. 

Key Takeaway!

Product engineering and Market intelligence together lay the foundation of a strong, profitable business that is accepted by the market and is ahead of its competitors. If you have a business idea and want a technology partner to turn your thought into reality then reach to the best IT consulting firm in just a click. 


Monday, March 30, 2020

Using Big Data Analytics to Drive Personalization & Better Customer Experience

Can you count the grains of sand covering the face of this earth? This seems impossible. You cannot calculate the exact numbers, right.
Well, to your amazement, Google did the Job. It has given a rough estimate of sand grains covering all the beaches and desserts on the planet. The number is seven quintillions, five hundred quadrillion grains of sand.
But even more interesting is the amount of Data we have.  Statistics reveal that by 2020, the data is expected to increase 4 times more than the grains of sand on the earth.
In the last couple of years, the number of internet users worldwide has increased massively. Stats reveal that 90% of the world's data has been created in the past 2 years. We can see the growing popularity of social media platforms across the globe. Every minute 2.5 million pieces of content are posted on facebook. We are living in a highly interconnected world where data is exponentially captured via smartphones, blogs, social media posts, and many diverse digital sources.
This digital revolution is bringing abundant opportunities to enhance the overall customer experience. With this, Big data analytics has become a powerful tool that enables businesses to engage their customers more effectively and drive success with better products and services. Any business can deliver personalized solutions with meaningful insights to create happier customers.

What is Big Data Analytics?

It is a process of collecting, organizing and analyzing huge data sets to get deep insights to discover purchasing patterns, market trends, and customer preferences that help companies make informed business decisions.
Data consulting services enable marketers to gain better understanding of customer needs and requirements. This way companies can deliver personalized solutions that create happier customers and retain them for long-term.
Why It’s the Right Time to Embrace Big Data Analytics?
Unlike traditional data, ‘Big Data’ is unstructured and scattered, and too complex for traditional SQL databases to deal with. That’s where the need for big data analytics arrives.
If you’re still not considering the details of your customers, then your business is missing out that major tool undeniable for business success as “There’s only one thing that matters, Customer Satisfaction”
No matter what industry you’re in, big data analytics solutions can transform any business model towards new heights. If used effectively, it can optimize operations that result in improving customer relationships and give thriving results. 
Impact of Big Data Analytics on Customer Services
1. Helps Deliver Valuable Feedback
Better understanding of customer behavior enables companies to resolve queries, issues and grievances in an effective manner.  
With Big data analytics, marketers can easily track those channels that their customers are frequently using. This offers brands an additional opportunity to optimize their strategy for better customer engagement. Today, customers are connected to their favourite brands on various channels; hence to provide effective customer service, an enterprise must use the right tools to collect, analyze, and evaluate all data shared by a customer.
For example, if you integrate big data analytics into CRM systems, it becomes easy to define a more clear picture of customer-facing operations. 
2. Personalized Shopping Experiences
As Customer experience is the new marketing battlefront, it becomes very challenging for any business to survive and succeed in such a competitive environment. Hence,  entrepreneurs must break down the silos across various channels, departments, and teams to get a unified view of the customer preferences. With consolidated data on customers buying patterns, marketers can give personalized shopping experience with the better understanding of customer needs and requirements.
3. Improves Response Time
How fast do you respond to your customers? Quick response time is the most important attribute of good customer service.
As per researchers, prompt feedback to the customer issues and complaints can increase customer advocacy by 25%.
With data analytics on your side, it becomes easy to measure the response time of your customer agents across multiple channels. And thus you can improve it by accurate detection of strong and weak spots.
Grab this opportunity to stand out in the marketplace just by responding to your customers well in time.
4. Resolves Issues in No Time
Big data methodology helps your customer service agents to detect and analyze all kinds of user queries with their relevant solutions. This increases problem solving efficiency of agents.
“It takes months to find a customer and only seconds to lose one.”
Using big data analytics enables brands to improve its customer acquisition and retention rate. This has become a very popular tactic to retain customers for long-term. These insights can identify which customers to target and when to target them. For instance, a customer shops every month from a brand and for some reason haven’t purchased anything from it in the past 6 months. In such a case, using data insights enables marketers to reach out and prompt such customers with a simple message to resume their purchase cycle.  
The Bottom Line
Regardless of industry, big data analytics make all the difference in enhancing the relationship between customers and businesses.
And, serves as an effective tool for increasing consumer satisfaction and retention rate. It enables companies to draw meaningful conclusions out of vast unstructured information, to serve their customers better. In this blog, we have discovered 5 different ways big data analytics improve customer engagement with your brand. Each of these ways signify the importance to entrepreneurs to make data-based decisions.
Today several big and small businesses have successfully utilized data science to deliver an exceptional experience across digital spaces that delights the customer and builds long-term brand loyalty in their niche.
If you also want to improve your customer service then get in touch with leading big data consultants.