Let's capture every detail Analytics City helps you to build complete data No hesitation is allowed The most granular data, the most accurate insight.    Get Started    While you analysing your business through reports, we know how important reliability is. Contact with us and let's design your comfortable data environment.

All About Us & Our WorkAll About Us & Our Work

How Can We Help You !
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we’re Analytics City, a business data analytics consultancy company based in Vancouver. Founded by data nerds over many cups of tea at their everyday pc desk’s table in 2019, our brand promise is simple: to provide affordable data analytics consultancy and solutions to small and medium businesses that are looking to build success by using their most valuable asset which is data. We’re here to analyze your business as an outsider and taking a picture for asking lots of questions. When we finalized our questions you will start have benefits your data. You have data, let’s use it.

Our services span everything from initial business analysis, data analysis, business process modelling, and final analytics applications. Whatever your business goals, we work with you to ensure you have the right tools to make effective decision-making for your business.

Start Improving Your KPIs TodayStart Improving Your KPIs Today

With Analytics City Advanced Data Analytics
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Analytics City data and analytics consultancy provide competitive insight and market analysis no one can duplicate. Analysis that reveals opportunities, supports decisions and connects your business strategy directly to revenue.

Reach the right insights at the right time with the right message, talk more effectively to the prospects who are most likely to buy. Harness the complexity of data to boost efficiency and make smarter business decisions.

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Follow Our Process

MARKETING ANLYTICS CASE STUDY

One alert, one email or complex dashboards and reports! Which approach good for your organization’s culture? Since using your BI solution effectively is the key to success, selecting the best match technology will be extremely important.

  • Why my organization need a business intelligence solution?
  • How organizational culture impacts the success of BI solution?
  • What visualization abilities are required for my business needs?
  • How can the BI solution be integrated with different data sources?
  • What type of investment delivers the highest value?
  • How many resources will I need to maintain the BI solution?
Art of the supply chain management

SUPPLY CHAIN ANALYTICS CASE STUDY

New data integration techniques allow us to combine data from different sources in a centralized view, making it more actionable and valuable for reliable analysis and decision-making.

Before you use the data from different sources in your BI Solutions, you need to be sure it is in one data warehouse with various ETL or ELT methodologies. When you need to ingest, transform and integrate your structured data from an external source into your decision-making process, we can help you to do it accurately.

Questions to answer:

  • Where are your required data sources located?
  • How fresh data do you need?
  • Does your current data structure available for integration?
  • How many different types of data will your organization use?
  • Is the integrated data help to solve business problems?
  • Are there better integration options to increase business value?
Reach the stars

AUTOMATED BUSINESS SUMMARY EMAIL CASE STUDY

Competing better in your industry is highly related to your decision-making processes. Taking your decisions based on reliable data is the best way to improve decision accuracy. Of course, having a data-driven management philosophy and business culture is a great way to start.

But

  • How can you apply the best practices in your organization?
  • Which skills and resources your really need?
  • How many data/analytics teams can be enough for your needs?
  • How will you protect your data?
  • What rules and policies will be used in order to have high-quality data?
  • Where will you collect and store your data and how will you integrate it?
  • How will you identify your data?

Marketing and sales

Corporate Finance

Supply-Chain

Manufacturing

Product Analytics

Operations

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