There are 2 Companies in Edmonton
that provide Data Analysis Services!

Edmonton’s burgeoning tech industry has seen a 26 percent increase in jobs since 2014, which shows a new report ranking Canadian cities based on tech talent.

It’s a momentum that champions of innovation believe can continue to grow even amidst cuts to tax credits in the provincial budget.

Adding more than 5,800 tech jobs in the past five years, Edmonton has moved into the 10th spot in CBRE Limited’s annual study scoring 20 Canadian cities on how they appeal to tech workers and companies.

The 2020’s results, released by the commercial real estate services firm last Tuesday, garnered Edmonton the highest increase in the score by more than 10 points and an improvement of one spot into the top 10. 

Regarding average wage in the IT industry, Edmonton ranks somewhere between Vancouver and Montreal - $59K/year which is a good indicator, yet this is the average for a software developer, and other IT professionals probably get a different salary, depending on their specialization. 

Nonetheless, the city manages to attract investors and professionals around the area, and consolidate the IT ecosystem. Yet, a part of professionals may prefer Calgary over Edmonton due to the high number of workplaces available there. 

On Tech Behemoths, you can discover 90+ registered IT companies in Edmonton that deliver software, design, and marketing services for local and international businesses.

Overall, Edmonton is a promising city and IT center in Canada with high development potential and chances to become a leader in the area. 

Data analysis services help businesses make sense of their data. They collect, clean, and analyze data to uncover valuable insights, patterns, and trends that can inform decision-making and strategy.

More than 644 verified and trusted IT companies specialize in providing data analysis services. These companies offer a range of expertise, from data scientists to data engineers. Notable IT companies in this field include IBM, Deloitte, and Accenture.

Data analysis service providers use various tools and technologies to work with data effectively. Commonly used tools include statistical software like R and Python, data visualization tools like Tableau and Power BI, and big data platforms such as Hadoop and Spark. Cloud computing platforms like AWS and Azure are also popular for data storage and analysis.

Data analysis services are often part of a broader range of data-related services, including:

• Data Visualization: Creating graphical representations of data for better understanding.

• Business Intelligence: Developing dashboards and reporting systems for data-driven decision-making.

• Predictive Analytics: Forecasting future trends and outcomes based on historical data.

• Data Engineering: Building data pipelines and infrastructure for data storage and retrieval.

• Machine Learning and AI: Leveraging advanced algorithms to automate data analysis and predictions.

Selecting the right IT company for data analysis services involves considering factors like the company's experience, domain expertise, client references, and the range of services they offer. Look for a company that aligns with your specific data analysis needs, whether it's for business intelligence, marketing, finance, or any other domain.

Data analysis service providers are essential for various projects, including:

• Market Research: Analyzing customer behavior and market trends.

• Financial Analysis: Assessing investment opportunities and managing risks.

• Healthcare Analytics: Extracting insights from patient data for better healthcare outcomes.

• Supply Chain Optimization: Improving logistics and inventory management.

• Customer Insights: Understanding customer preferences and enhancing user experiences.

• Fraud Detection: Identifying unusual patterns in financial transactions.

Most of the times, these services are valuable for companies across industries, including but not limited only to:

• Retail: Analyzing sales data to optimize inventory and promotions.

• Finance: Managing investments, risk assessment, and fraud detection.

• Healthcare: Improving patient care, disease prediction, and drug discovery.

• Marketing: Enhancing customer targeting and campaign effectiveness.

• Manufacturing: Optimizing production processes and quality control.

• Technology: Utilizing data for product development and user experience enhancement.

Data analysis services can provide valuable insights, but it's crucial to have clear objectives and questions you want to answer with the data. Communicate your goals clearly with the service provider to ensure that the analysis aligns with your needs. Data privacy and security should also be a top consideration when sharing sensitive data with a service provider.