Business Intelligence

WHAT IS

BUSINESS INTELEGENCE?

Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. BI is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics.

IT HAS GREAT VALUE FOR

BUSINESSES THAT WANT

Fast reporting
High-quality data
Operational efficiency
Identifying market trends
Competitor analysis
Customer satisfaction

What we do

Big Data analysis

Big Data Analytics offers a nearly endless source of business and informational insight, that can lead to operational improvement and new opportunities for companies to provide unrealized revenue across almost every industry.

Sales analysis

A sales analysis is a detailed report that shows a business's sales performance, as well as customer data and generated revenue. The report defines the strengths and weaknesses of products and sales teams by referencing historical and current metrics to detect emerging trends that are most relevant to a company.

Real-time Interactive Dashboards

A live dashboard is a performance tool used to analyze, track, and report on the company’s data in real time with the help of interactive data visualizations. These real time dashboards are automatically updated and provide the user with instant access to critical data. Here we will present rich examples from various functions, industries, and platforms which you can use for your own dashboard building process, and generate actionable and real-time insights.

Data vizualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

How we do

There are 6 processes to conduct result-oriented business intelligence. 

1. Understanding business needs

Business needs are gaps between the current state of the company and its goals. To have any chance of success with business intelligence, we first define what success looks like.

2. Data gap analysis

Through a careful examination of the available data, in consultation with the various subject matter experts, we’ll evaluate and consistently re-evaluate which goals can be supported and will provide the greatest business benefits. The outcome from this process is a list of goals that can be achieved and an estimate of the effort each will require to accomplish.

3. Goal selection & prioritization

At the beginning of each sprint we meet with the business stakeholders to review the goal pool, confirm the relative priority of each goal, and define the scope of effort based on the agreed upon cadence.

4. Data solution selection

The data solution is the most important factor in determining what types of reporting can be produced, and by whom. It can range from direct source system reporting to an enterprise-wide dimensionally-modeled data warehouse.

5. Data modeling

As reporting requirements become more advanced (for example, combining the requirement for massive calculations with the need for instantaneous response times) we introduce advanced data modeling techniques to create specialized or pre-aggregated views of the data

6. Data vizualization

Data visualizations are a vital component of a business intelligence , as they have the capability of summarizing large amounts of data efficiently in a graphical format. There are many chart types available, each with its own strengths and use cases. One of the trickiest parts of the analysis process is choosing the right way to represent your data using one of these visualizations.
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High level of competence

Our experience team will help you to growth faster.

We provide the right mix of planning, technical expertise, specialized tools and ongoing engagement to bridge the gap between strategy and design, and ensure that your exports reaches its full, unconstrained potential.

Outsourcing
3 years
Export consulting
5 years
Digital marketing
7 years
Market research and studies
10 years
Consulting
12 years