Unify, integrate, analyze, and share previously siloed data with a cloud data platform that delivers scale, concurrency, and performance.
Cloud Computing
Snowflake
Integrated CRM Platform
Get to serve your customers better with Salesforce. All business departments can now collaborate everywhere with each other using this integrated CRM platform.
Custom Dashboard
Custom dashboards help you monitor your business and service efforts. They provide charts, monitors, and widgets to visually display your data. With custom dashboards, you receive better insights and save resources.
Model customer behavior, understand customer profitability, deliver seamless and consistent customer experience across touch points to increase customer lifetime value
Analytics
Manage, optimize, and customize your inventory, shelf placement, pricing, promotions and more. Data-driven insights to maximize profits and increase your customer base.
Retail
analytics
Measuring For
Success
Problems
Advanced Analytics Solutions
Data-Driven Decision Making
Data-driven decision-making means using data to guide a specific and strategic business decision. The value of data is growing and improving so it is necessary to create an environment that enables and encourages data usage.
By establishing this culture, your organization will see results such as;
- Reduced costs
- Increased profits
- Lower risks
- Added competitive advantage
Are you ready to improve your decision-making using data?
How We Help You
At Deeta Analytics, we help you set up data infrastructures that collect the right data and deliver the best insights for your business. As a result, your decision-making becomes more efficient and enables your business to thrive.
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Business performance
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Predict behavior
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Drive strategic
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Business performance
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Understand customers
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Predict behavior
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Identify trends
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insights into data
We Use a Systematic Approach to Data Science
Our systematic approach to Data Science means that we only use the best Data Science practices. Deeta’s experienced team uses specific methods along with a combination of various tools, machine learning techniques, and algorithms to discover hidden patterns. We break it down using four distinct analytical methods;
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Descriptive Analytics (What happened)
We use historical and current data to draw comparisons and understand what has changed in your business.
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Diagnostic Analytics (Why it happened)
We use advanced analytic tools such as data mining, to examine data and answer why your business is performing the way it is.
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Predictive Analytics (What’s likely to happen)
In this analytics branch, we use data to predict future events, thus helping you be better prepared.
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Prescriptive Analytics (How you can make it happen)
In prescriptive analytics, machine learning that's been given program predictions helps you choose the most appropriate course of action, leading to better decisions.
Optimal Data Infrastructure
We use advanced tools and techniques to ensure that our clients get maximum utilization of their data infrastructure. We create solutions in;
Data Engineering
We help you collect and validate data from various sources. Then we develop applications and solutions that use the validated data to help you make data-driven decisions.
Data Warehousing
Using our technologies, we help you collect your data into one central repository. You can now get clear insights that otherwise wouldn’t be seen in scattered data.
Data Lakes
If you have plenty of data, we help you create a data lake. A data lake stores many kinds of data in one central repository. You can store any data about your business.
Data Security and Governance
Deeta’s highly trained staff helps you protect your data from all unauthorized persons. We take a proactive approach and ensure that all international standards are met.
Recent Blog
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Data warehousing has grown in popularity due to the advent of fast internet. The internet has made it easy to access information. This information creates lots of data, and Bill Inmon started data warehousing to help transform data from operational systems to decision-making systems.You see, as computer systems have evolved over time, there has been […]
What are the top ten metrics that marketers should be monitoring? The answer varies depending on what industry you work in and how experienced you are as a marketer. For example, if you just started working as a marketer, your top 10 metrics might look different from someone who has been doing marketing for twenty […]
If you have a business, you have data — but data by itself won’t let you optimize and improve your business. You need a data strategy if you want to turn data into value. Data strategy refers to the tools, processes, and rules that define how to manage, analyze, and act upon business data. A […]
Marketing data analytics is the process of getting data from marketing campaigns and studying it to get the patterns between consumer behavior and creative preferences. By using marketing data analytics, you decipher hidden patterns that you can use to optimize your future campaigns. You capitalize on the insights gained and get to avoid marketing mistakes you’ve made.
What is Customer Lifetime Value (CLV)? Customer Lifetime Value (CLV) is a customer’s total profit value to your company throughout the time they are your customer. CLV includes all the money they have spent, will spend, and the potential referrals to other prospective clients. CLV calculates and tells you the profit expected from a customer, […]
Data management is the process of getting data and then storing, using, and protecting it reliably. With good data management comes great insights that lead to better business decisions. Why Should You Manage Your Data? Increased Productivity A good data management system leads to more productivity. How does it facilitate this? Due to data arrangement, […]
Retailers pay a great deal of attention to metrics such as same stores sales, sales per square foot, sales per employee, gross and net profit, average transaction value and foot fall. Most of these are result metrics that measure how well a retailer performs. However, there are certain “lead metrics” that may help predict the […]
As a marketer, you often face the dilemma where to invest your marketing dollars, specifically which customers to invest in. Do you invest in your high value customers or high growth customers? How do you recognize “growth” customers? How do you recognize “diminishing” customers? Each of these warrant extensive discussions that I will cover in […]
As a retailer, do you know which consumers buy more and why? Which in-store promotions are effective and why? How effective is your merchandising and shelf placement? The answer to these questions lie in the market baskets of your consumers purchases. Market baskets analysis, the scientific view into consumers’ shopping carts (the transactions), can provide […]
Phone support
+1 (773) 759-8300
Email us
info@deetaanalytics.com