CUSTOMER ANALYTICS

Accurate data about your customers’ buying habits and lifestyle preferences is critical to your company’s success. We leverage this information to make precise predictions about future buying behaviors.

FINANCE ANALYTICS

Advancements in technology are compelling businesses to become more financially complex. We provide timely information and analysis that help businesses make important financial decisions.

MARKETING ANALYTICS

Marketing metrics are data points. Analytics is putting that data in the context of your brand and market. By combining the two, we use marketing analytics to tell managers and investors a complete story about how your company’s marketing efforts are driving revenue.

OPERATIONS ANALYTICS

Operational analytics is a type of business analytics that focuses on improving existing operations. Our experts in the field offer specific guidance on how to use operational analytics to perform targeted analysis efficiently.

REAL ESTATE ANALYTICS

Being slow to identify subtle trends means missing opportunities. We leverage many types of non-traditional data and analytics to help clients stay ahead of the curve.

SALES ANALYTICS

Sales analytics generates insights from sales data, trends, and metrics to set targets and forecast future sales performance. It is our mission to develop a strategy to improve your short- and long-term sales performance.

How Zedvue Works

Data and people are your company’s richest assets. Predictive analytics provides deep, real-time insights into your company’s activities and anticipates various types of behaviors and patterns in models such as:

Customer Lifetime Value Model: Pinpoint the customers most likely to invest more in products and services.

Customer Segmentation Model: Categorize customers based on similar characteristics and purchasing behaviors.

Predictive Maintenance Model: Forecast the probabilities of essential equipment breaking down.

Quality Assurance Model: Identify and prevent defects to avoid disappointments and extra costs when providing products or services to customers.

1

Discovery

We conduct client interviews and research sessions to determine what the best approach is for your organization to:
  • Effectively collect, store, manage, share and use data; and
  • Define immediate and long-term goals to leverage your analytics capabilities within your allocated budget, resources, and timeline.
2

Collect & Analyze

Extracting and reporting data is useless without analysis! Ask yourself: would be able to use a single metric to make a decision? Does it independently tell you how well or poorly you performed?

This is where the ‘data story’ we develop for you comes in. Our data analysis process consists of the following steps:

      1. Collecting data from sources.
      2. Deleting unnecessary data.
      3. Analyzing the data.
      4. Data Modelling
      5. Interpreting the results

3

Decide & Deploy

We defined your strategy, measured the data, and analyzed your performance. Next, we implement the model, which generates and develops an algorithm that provides fast and precise actionable intelligence. The model gathers and organizes this data onto an interactive dashboard, which visualizes the information using a variety of charts, graphs, maps and other visualization tools, enabling you to predict future trends accurately.

How Zedvue Works

Data and people are your company’s richest assets. Predictive analytics provides deep, real-time insights into your company’s activities and anticipates various types of behaviors and patterns in models such as:

Customer Lifetime Value Model: Pinpoint the customers most likely to invest more in products and services.

Customer Segmentation Model: Categorize customers based on similar characteristics and purchasing behaviors.

Predictive Maintenance Model: Forecast the probabilities of essential equipment breaking down.

Quality Assurance Model: Identify and prevent defects to avoid disappointments and extra costs when providing products or services to customers.

1

Discovery

We conduct client interviews and research sessions to determine what the best approach is for your organization to:
  • Effectively collect, store, manage, share and use data; and
  • Define immediate and long-term goals to leverage your analytics capabilities within your allocated budget, resources, and timeline.
2

Collect & Analyze

Extracting and reporting data is useless without analysis! Ask yourself: would be able to use a single metric to make a decision? Does it independently tell you how well or poorly you performed?

This is where the ‘data story’ we develop for you comes in. Our data analysis process consists of the following steps:

      1. Collecting data from sources.
      2. Deleting unnecessary data.
      3. Analyzing the data.
      4. Data Modelling
      5. Interpreting the results

3

Decide & Deploy

We defined your strategy, measured the data, and analyzed your performance. Next, we implement the model, which generates and develops an algorithm that provides fast and precise actionable intelligence. The model gathers and organizes this data onto an interactive dashboard, which visualizes the information using a variety of charts, graphs, maps and other visualization tools, enabling you to predict future trends accurately.

Are you ready to embrace data-driven transformation to gain insight, make decisions and predict future outcomes? Do you want to connect and transform your data into revenue?

Hire Us