The Future of Retail Analytics (10 trends included)
    5 minutes read

    It’s clear to see that analytics has become a critical component of most businesses operations in the retail industry. Consumers increasingly generate massive amounts of data that are crucial for the company to understand their customers’ purchasing habits, health profiles, and hobbies. Therefore, companies can change the way they do business, helping to increase customer satisfaction and operations. Understanding the flows of their stores and products, as well as knowing how to streamline retail analytic trends, is the other important thing for retailers to keep going. 

    However, analytics as a field is still expanding and improving, and these are some basic things you need to know about it to drive your business along the future of retail analytics. 

    What is Retail Analytics? 

    Retail data analytics is the act of gathering and analyzing retail data (such as sales, inventory, pricing, and so on) in order to identify trends, forecast outcomes, and make better business decisions. When done correctly, data analytics enables retailers to get faster and greater insights into the performance of their stores, products, customers, and vendors –thus making better business  increase profitability. 

    Almost all retailers use data analytics in some way, even if it’s only examining sales figures in Excel. However, there is a significant difference between an analyst using Excel to pour through spreadsheets and employing purpose-built AI to evaluate billions of data points simultaneously. 

    To know more about the difference between them, there are four types of retail data analytics that you must know about. Each plays an important role in providing today’s retailers with key insights into their business operations. 

    • Descriptive Analytics – the most common one: helps retailers organize their data to tell a story and uses it to describe “what” is happening in their business. 
    • Diagnostic Analytics – the simplest form of “advanced” analytics: It enables retailers to use data to answer the “why” of specific business concerns. 
    • Predictive Analytics – the second most advanced type: It forecasts the future using findings from both descriptive and diagnostic analytics. 
    • Prescriptive Analytics – the most advanced type: it gives retailers good recommendations to do. 

    Why is Retail Analytics Important? 

    To be a more competitive and stable firm, you should know about the importance of retail analytics as below: 

    Why is Retail Analytics Important

    1. More effective sales and marketing strategies 

    The primary benefit of leveraging retail analytics is that it provides tangible and actionable insights into customer behavior. Managing every part of a business becomes much easier when one understands how to calculate the return on investment (ROI). This is made feasible through retail analytics. Retail analytics provide merchants with a highly accurate picture of what works and what doesn’t, from examining social reactions to a product to measuring how a campaign impacted on the store’s conversion rates.  

    For example, if you know that a particular in-store display is effective at encouraging customers to purchase a specific item, you can research ways to mimic the results and increase sales. 

    Alternatively, if you understand what makes your clients stick to the base of behavioral data, you may determine what types of messaging to utilize in your marketing and advertising material.  

    Understand Data Science in Retail | Use Cases & Famous Projects

    2. Optimizing your operations 

    If you have not implemented this strategy, you may be missing out on future retail analytics that can help enhance your operations and processes.  

    A good example is shedding light on a store’s peak hours and traffic patterns. The shop may then utilize this information to improve their worker rosters and guarantee that they have the appropriate number of employees on the sales floor at that time to assist and provide the best service for customers. Go along with the labor force implementation, the material organization should follow the best recommendations from retail analytics trends like: 

    • Install interesting store layouts 
    • Place product locations that grab the most attention, as well as service delivery quality that makes clients happy 

    Also, not only the labor force but the storage production should always be tracked to make sure whom to assign, what to arrange, and what is available. Therefore, your operations management will improve as the whole business grows. 

    3. Stop wasting money. 

    Using retail analytics in your organization can lead to better resource allocation. You’ll be able to focus more time, energy, and resources on strategies, products, and projects that drive growth rather than those that run out of your resources. 

    Tracking your analytics on a regular basis also allows you to detect issues and solve them instantly. 

    If your inventory levels for a popular product are too low, you will miss out on a sale. If you keep too much of a product on hand and it does not sell, you are wasting warehousing resources from other products that could truly move the bottom line.  

    For instance, TikTok is increasingly changing the way we shop, not only for clothes, and food but everything for sale. As a result, you have to keep up with trends, do statistics and analyze the people’s need for a certain item, and estimate how much they care about it and how willing they are to buy it through the eCommerce platform. You can construct models that estimate your stock needs for the near and long-term using past customer data, seasonality impacts, market trends, and consumer behavior. Then your product would be much optimized in sales. 

    That’s how you apply retail analytics in a certain aspect for your business, which is an excellent tool for forecasting future demand and optimizing your vendor supply chain to meet the coming demand.

    Below are significant retail analytic trends that businesses are using to achieve a competitive advantage in the market.  

    Future of Retail Analytics

    1. Create more hyper-personalized experiences for a one-to-one market. 

    The ability to track consumer interactions at such a fine level allows management to obtain a far deeper insight into key shopper’s wants and expectations. This means that shops may now provide the unifying experiences that customers expect while communicating distinct offers to highly refined segments. As a result, providing hyper-personalized retail experiences to your customers can increase total sales by increasing loyalty and share-of-wallet. 

    If you would like to apply the same to your business, your firm should think of having a single data and analytics platform in order to develop and expand this level of personalization.  

    2. Spending and demand can be predicted. 

    Retail analytics trends are leveraging advanced analytics, which use computers and machine learning to predict trends detected in customer data. These complex computational models inform businesses how much of a certain product or service customers will wish to purchase during a specified time period. 

    Demand forecasting is being used by business owners to bring their most profitable consumers back into the store through timely notifications and good offers on related products. As a result, businesses can ensure that shipments are timed to get the products their customers desire on the shelves while also optimizing their supply chain. 

    Retail leaders are applying predictive data analytics to determine each customer’s lifetime value in order to increase retention. 

    3. Develop automated, dynamic pricing models. 

    To remain competitive, retailers frequently need to maintain a percentage of their prices very low. These low-cost items, known as doorbusters, and key value items (KVIs), are frequently the top sellers and traffic generators that establish a retailer’s price image. As a result, while KVIs can account for up to 80% of revenue, they only account for half of a retail company’s profit. To compensate for the low margin on KVIs, merchants raise the cost of their higher-margin items and strategically put them alongside doorbusters and KVIs in creative ways to encourage buyers to add higher-margin products to their carts. 

    Retailers can stay in business and grow by optimizing product prices to increase profit margins. With this in mind, dynamic pricing algorithms, in particular, have proven to be game changers for merchants. Dynamic pricing models will offer price suggestions automatically, allowing management to make better informed and timely decisions that benefit the company’s bottom line. To be genuinely effective, we strongly recommend collaborating with a data analytics consulting firm to construct a custom solution tailored to the retail company’s business objectives, operational processes, and client base. 

    4. Build new experience within the store thanks to the retail analytics trends 

    Those who use digital technologies in their stores beat their competitors. Indeed, obtaining and analyzing well-chosen data provides retailers with a competitive advantage. 

    The combination of data from physical store performance and online buyer behaviors can enable merchants to provide innovative services in-store. For example,  Uniqlo, a Japanese casual wear designer, manufacturer, and retailer,  has launched a click-and-collect service in a number of cities like London, Singapore, making it more convenient for shoppers to collect online orders at a Uniqlo store of choice with no shipping fee and no min. spend required.  

    Another example is that numerous athletic brands, such as Nike or Adidas, often produce limited-edition collections in a specific store to entice customers to visit. Customers are invited through a database (frequent customers, raffles via social networks, etc.): being invited and visiting the store is perceived as a privilege. 

    Data methods enable retailers to reconsider their physical shop environments in order to provide more tailored experiences for their customers. To facilitate effective operational action, all data is homogenized and cross-referenced. 

    Employee performance and comfort are also improved. Shop owners now have access to accurate data and can be more confident in meeting their sales targets. Sales assistants can effectively respond to consumer needs. Your customers will return to your stores if you ensure their contentment and improve their shopping experience. You are providing them with an experience that only pure player stores can provide. 

    5. Selling online is non-negotiable 

    Online shopping is important for customers and crucial for retailers. Today, 37 percent of monthly retail purchases are made online, and many businesses are addressing those demands. Independent merchants can interact with customers locally while simultaneously expanding their reach by selling online and retaining a local presence. 

    Going online can boost the prospects of success as many retailers change their business strategies to pursue new revenue streams. In fact, among shops who sell online, internet sales currently account for 51% of total income. Moving to the first new channel highlights the need to employ digital tools to assist retailers in continuing to innovate. 

    6. Omnichannel tools are creating more meaningful shopping experiences 

    Despite the widespread popularity of eCommerce and, as a result, the need of establishing an omnichannel strategy, 32% of retailers believe they are unable to sell things through newer online or social channels because they are unaware of their alternatives. Furthermore, 29 percent feel it is difficult to provide consistent purchasing experiences across online and offline channels. 

    Even while retailers are digitizing their processes, it is not an all-or-nothing situation, emphasizing the significance of education about the omnichannel selling options available. Shopping patterns are changing, and an integrated solution that connects different channels while reducing front- and back-of-house operations can help stores succeed. 

    7. Automated technology is helping retailers get a handle on the labor shortage 

    Almost one-third of retailers are concerned about their ability to attract and retain employees in 2022. To tackle the additional complexity brought on by the manpower shortage, 72 percent of retailers are utilizing or plan to use automation to reduce their team’s time spent on hands-on work. 

    The top three areas where retailers claim automated technology will help replace workforce deficits are streamlining efficiencies for operations like tracking orders, maintaining customer loyalty programs, and connecting with customers. To satisfy the changing needs of the employment landscape, retailers should consider investing in automated tools or improving what they presently use. 

    8. Voice search 

    With digital assistants like Siri, Alexa, and Google Assistant available at the push of a button, it’s no surprise that more and more people are utilizing voice search technologies to simplify everyday activities. Consumers are increasingly depending on information offered by voice search to make purchases, whether it is to locate directions to a store, learn its working hours, or browse product reviews on the way to the merchant. 

    Retailers who want to take advantage of this AI-based technology must optimize their online presence in the same way that they do SEO for their websites, using natural speech patterns and user intent in their keywords. 

    9. Extensive reality 

    The rise of extended reality, which includes both augmented reality (AR) and virtual reality, has been one of the most intriguing advancements in retail technology in recent years (VR). 

    Retailers can use this technology in a variety of ways. They can assist potential buyers with experienced products in a way that mirrors real life by producing AR and VR experiences for their clients, such as 360 immersive films, which is very handy when purchasing big-ticket items like furniture or gadgets. 

    AR and VR technology not only allows consumers to see what a specific item might look like in their house, but it also assists businesses by allowing them to visualize in-store layout and stocking as well as evaluate and analyze consumer behavior scenarios. 

    Learn the importance of Video Analytics For Retail

    10. Machine learning 

    Machine learning, a subset of Artificial Intelligence (AI), is the process through which computer-run systems automatically learn and improve based on their experience without the need for additional programming. 

    This technology is increasingly becoming the go-to solution for companies and merchants trying to stand out from the crowd. One of the most prominent applications of machine learning in retail is in recommendation engines and conversation bots, which “learn” from their operations and improve over time. 

    Another prominent machine learning-based application is visual search, which allows customers to search an item’s image for characteristics such as brand name and pricing. This can be considered as the most advanced technology to apply to the future of retail analytics. 

    Conclusion 

    Embark on a retail analytics journey with Synodus today!  

    Retail has always been a data-intensive industry. Hence, in the near future, adopting retail analytics, making the most out of data, and extracting insights from it to make informed business decisions should be the top priorities for any business to compete in a consumer-empowered economy. No matter what you are retailing, you could realize value by adopting data analytics and utilizing critical trends in retail analytics to drive your business growth!  

    To get ahead, you may build an in-house team on your own or turn to data analytics consultants (like those at Synodus) to help build and deploy the required data infrastructure to embark on a retail analytics journey soon.

    Follow us on LinkedInTwitter, and Youtube to be informed about the latest news and information about Data Analytics!

    author avatar

    Taylor Nguyen

    I was born and grew up in Hanoi. I got 3 years of experience in Digital Marketing. To me, reading is food, and writing is a release of my energy. Thus, balance in the application of these is an important part of my life.

      Recent Posts

      Partnership-Announcement-Synodus-Anatics

      New Strategic Partnership Announcement: ANATICS x SYNODUS

      Hanoi, Sep 19th 2022 We are thrilled to announce our strategic partnership...
      Read More
      Leveraging Predictive Analytics In Excel For Sales Forecasting

      Leveraging Predictive Analytics In Excel For Sales Forecasting: How To Do It  

      Sales forecasting has a substantial role in every business's success when making...
      Read More
      Top 10 behavioral analytics tools and a guide to choose one

      Top 10 User Behavioral Analytics Tools And A Complete Guide To Choose One

      Behavioral analytics tool is changing how businesses become more profitable and serve...
      Read More
      What is Behavioral Analytics? Defintion, Examples & Tools

      What Is Behavioral Analytics? Definition, Examples and Tools 

      Every mouse click and movement on the screen reveals something about the...
      Read More
      Data Maturity Assessment: Models & Frameworks

      Data Maturity Assessment: How-to Guide (Models and Framework Included)

      Table of Contents[Open][Close]Part 1: What Is Data Maturity And How Important It...
      Read More
      Boody

      Turning 10-Year Data Into A Single Source Of Truth With Boody  

      Table of Contents[Open][Close]Who Is Boody?How They Came To Us Here Are Key...
      Read More
      Data Analytics For Marketing Benefits Tools And Examples of Top Brands

      Data Analytics for Marketing: Benefits, Tools and Top Brand Examples  

      Marketing data is everywhere. Yet, the most valuable insights are usually wrapped...
      Read More
      Data Monetization A Complete Guide

      Data Monetization: A Complete Guide 

      You may hear that data is a treasure that will do you...
      Read More

      Success Story of The ICONIC: Leveraging Customer Analytics To Become A Fashion Giant

      Table of Contents[Open][Close]Part 1: A Brief History Of Multi-millionaire Empire: How It...
      Read More
      Artificial Intelligence 101 and AI in E-Commerce

      Artificial Intelligence 101 and AI in E-Commerce

      A survey by Statista showed that 70% of decision-makers in the e-commerce world assumed...
      Read More
      Top 10 examples of Predictive Analytics in Retail

      Predictive Analytics in Retail: The Best 10 Uses With Examples

      Predictive analytics has undoubtedly around for decades, yet until recently, more and...
      Read More
      Data security Definition, Importance, Types, Methods

      Data security – Definition, Importance, Types, Methods

      This article will give you an overview of data security: definition and...
      Read More
      Top 7 Data Security Best Practices

      Top 7 Data Security Best Practices

      This blog will explain definition, common security threats and best practices for...
      Read More
      Top Ecommerce Consulting Companies & How To Choose One

      Top Ecommerce Consulting Companies & How To Choose One

      While some firms can build an eCommerce business themselves, others turn to...
      Read More
      Data Strategy A definite guide

      Data Strategy: A Definitive Guide

      A data strategy helps companies know how to manage and analyze data...
      Read More
      Retail Analytics Courses, Books & Reports

      Retail Analytics Courses, Books & Reports: Resources for your knowledge

      It is crucial for retailers and those who are enthusiastic about retailing...
      Read More
      The Future of Retail Analytics (10 trends included)

      The Future of Retail Analytics (Top 10 Trends)  

      It's clear to see that analytics has become a critical component of...
      Read More
      Sentiment Analysis - A comprehensive Guide

      Sentiment Analysis: A Comprehensive Guide

      The power of Natural Language Processing (NLP) enables organizations to implement sentiment...
      Read More
      What is Data-driven culture

      What Is A Data-Driven Culture and How to Create One?

      One of the major shifts in today’s business world is the transformation...
      Read More
      What is Data Visualization?

      What Is Data Visualization And Why Is It Important? 

      We live in a world of Big Data, in which data visualization...
      Read More
      Video Analytics For Retail - Definition & Use Cases

      Video Analytics For Retail: Definition & Use Cases 

      Retail video analytics is becoming more than simply a loss prevention tool;...
      Read More
      Top 10 Data Visualization Tools

      Top 10 Best Data Visualization Tools (Free & Paid)

      As the value of data visualization has become widely recognized across companies...
      Read More
      Databases vs DataWarehouse: Similaries & Differences

      Database vs Data Warehouse: Similarities & Differences

      What is a database? What is a data warehouse? What are the...
      Read More
      What is A Database Schema? Types, Benefits, Terms Explained

      What Is Database Schema? Types, Benefits, Terms Explained

      In this blog, we’ll go further into database schema including database schema...
      Read More
      Data Warehouse Costs

      Data Warehouse Costs: 3 Important Elements to Consider 

      It’s essential to select the right data warehouse, business intelligence, and analytics...
      Read More
      What Is a Data Warehouse? Definition, Benefits, Architecture Explained

      What is a Data Warehouse? Definition, Benefits, Architecture Explained

      A data warehouse is essential for businesses that wish to drive engagement...
      Read More
      what is a data warehouse top 10 solutions compared

      What is Cloud Data Warehouse? Benefits, Features & Solutions Compared

      The growing demand for data warehouses as a service is propelling the...
      Read More
      data warehouse tutorial for dummies

      Data Warehouse Tutorial: Learn from Experts with 6 Steps

      Data is gathered at regular intervals from source systems such as ERP...
      Read More
      benefits of data visualization

      What Are The Benefits of Data Visualization?

      Data visualization lets us present sets of data through the use of...
      Read More
      Data Analytics Services for Small Business: Pricing Review

      Data Analytics Services for Small Business: Pricing Review

      As a small business owner, you’d better implement data analytics if you...
      Read More
      6 Best Practices for Small Business Analytics

      6 Best Practices for Small Business Analytics

      Today's successful businesses are propelled by the covert power of small business...
      Read More
      Data Analytics for SMEs: What You Should Know

      Data Analytics for SMEs: What You Should Know

      Operating in an ever-changing market, many SMEs are facing challenges and struggling...
      Read More
      How Your Business Can Benefit From Data Analytics Outsourcing

      How Your Business Can Benefit From Data Analytics Outsourcing 

      In recent decades, a lot of enterprises - large and SMEs, want...
      Read More
      Small Business Analytics: 4 Ugly Facts

      Small Business Analytics: 4 Ugly Facts

      Analytics is an important part of any business, but it's not something...
      Read More
      5 Data Visualization Trends in 2022

      Top 5 Data Visualization Trends in 2022 and More Years to Come!

      Due to the fact that technological advances are ever-changing, the future of...
      Read More
      7 Things to Consider When You Hire a Data Analytics Consultant

      7 Things to Consider When You Hire a Data Analytics Consultant

      The data analytics consulting industry is a rapidly growing market. The U.S....
      Read More
      Merge Data from Multiple Sources Effortlessly

      6 Detailed Steps to Merge Data from Multiple Sources Effortlessly 

      The advancement of technology has created many opportunities for the big data...
      Read More
      How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality

      How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality 

      Do you know that 2.5 quintillion bytes of data are generated every...
      Read More
      Top 6 common payment gateways for eCommerce stores

      Top 6 Common Payment Gateways for eCommerce Stores

      The world of online business is a fast-paced one. The ability to...
      Read More
      7 Huge Gaps in Google Analytics And Tools to Fix Them

      7 Huge Gaps in Google Analytics And Tools to Fix Them

      Google Analytics is a must-have tool in the toolbox of any e-commerce...
      Read More
      eCommerce advice: How to work with customers as privacy regulations are changing

      Ecommerce Advice: How to Work with Customers as Privacy Regulations Are Changing

      As the eCommerce industry grows and matures, consumers are becoming more aware...
      Read More
      Data Warehouse Trends 2022

      The Latest Trends in Data Warehouse 2022 

      The world has changed since the introduction of data warehouse. Data warehouse...
      Read More
      Searching for data to make critical decisions? Try these 8 sources

      Searching for data to make critical decisions? Try these 8 sources 

      Leveraging the gigantic database of your customers can help you seek insights...
      Read More
      5 Ways Data Science Can Boost Your E-commerce Revenue

      5 Ways Data Science Can Boost Your E-commerce Revenue

      The 21st century has digitized the world and provided a gigantic database...
      Read More
      6 Significant Impacts of Geography on E-commerce Conversions

      6 Significant Impacts of Geography on E-commerce Conversions 

      In online retail, e-commerce conversions happen when customers purchase products or services...
      Read More
      4 Insightful Books To Master Your Data Visualization

      4 Insightful Books To Master Your Data Visualization 

      Data analytics is like solving a puzzle. Raw data is a clue...
      Read More
      How Retail Analytics Can Help You Win Fraudsters

      How Retail Analytics Can Help You Win Fraudsters 

      Fraud has remained a big concern in the retail industry. The National...
      Read More
      How You Can Use Data Analytics for Better Inventory Management

      How You Can Use Data Analytics for Better Inventory Management  

      Inventory is the most important section of a company, ranging from different...
      Read More
      4 Significant Use Cases of Location Analytics in Retail

      Retail Location Analytics | Definition & Use Cases 

      Retail Location Analytics supports businesses with robust conditions to directly approach customers,...
      Read More
      10 Most Reliable KPI Tracking Software Worth Your Consideration 

      10 Most Reliable KPI Tracking Software Worth Your Consideration 

      With proper KPIs, you can keep track of your campaign’s performance and...
      Read More
      3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

      3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

      KPIs are always an essential part of any business strategy on the...
      Read More
      2 Ways Internal Data Can Benefit Your E-commerce Business

      2 Ways Internal Data Can Benefit Your E-commerce Business

      Simply defined, data is helpful information that you accumulate to support organizational...
      Read More
      8 Best Free Google Analytics Tutorials for Beginners and Experts

      8 Best Free Google Analytics Tutorials for Beginners and Experts

      Google Analytics is considered an indispensable tool to every website owner. It...
      Read More
      3 Clever Tips to Scale Your E-commerce Businesses With Data

      3 Clever Tips to Scale Your E-commerce Businesses With Data

      In the cut-throat world of business, entrepreneurs must compete fiercely with each...
      Read More
      10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

      10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

      WooCommerce is among the popular platforms that has been revolutionizing the digital...
      Read More
      Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

      Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

      Satisfied customers are a constant source of happiness to businesses. Usually, every...
      Read More
      Customer behavior analytics are transforming how retailer sell online

      Behavior Analytics Are Transforming How Retailers Sell Online Introduction

      Behavior analytics refers to the method of collecting and analyzing qualitative and...
      Read More
      How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement 

      How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement

      Emotions are verbal and non-verbal communication cues that play an integral role...
      Read More
      Retail Analytics Can Boost Your Merchandising Effectiveness

      2 Ways Retail Analytics Can Boost Your Merchandising Effectiveness

      Physical stores have been through a great transformation due to digitalization. The...
      Read More
      ar in Retail Analytics

      How Can Augmented Reality Be So Helpful in Retail Analytics

      In the age of innovative technology, retail e-commerce presents a number of...
      Read More
      retail analytics use cases

      Retail Analytics Use Cases: Comprehensive Guide

      Table of Contents[Open][Close]What is Retail Analytics?Effective Use Cases For Retail AnalyticsRetail Analytics...
      Read More
      retail analytics

      How to Boost Conversion Rates With The Use of Retail Analytics

      The rapid growth of the retail industry comes with big data and...
      Read More

      4 Effective Ways to Collect Customer Feedback for Analytics

      Understanding the importance of customer feedback helps businesses have a full view...
      Read More

      4 Ways to Use Speech Analytics for Better Customer Engagement

      A significant challenge for any business is getting deep insights about customers...
      Read More
      data science in retail

      Data Science in Retail | Use Cases & Famous Projects

      Data science employs specific methods, processes, algorithms, and systems to draw insights...
      Read More
      secrets of online shopping behaviors

      3 Big Secrets of Online Shopping Behaviors You Must Know

      Customers have certain online shopping behaviors that businesses in the e-commerce industry...
      Read More
      Customer Feedback Analysis

      Detailed Customer Feedback Analysis Guide 2022

      Customers have been leaving feedback more than ever before, and businesses amass...
      Read More

      Comment 2

      1. Awesome! Information. Great work thanks for sharing such useful information. keep it up all the best.

      2. Thanks for your blog, nice to read. Do not stop.

      Leave a Reply

      Your email address will not be published.

      Search here...

      Get a fully-stacked data team within 47 hours without making a hire. Our team of data experts help build your data infrastructure, create your metrics and much more. Available from day 1, so you can get a world-class data setup in record time.

      Contact Us