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Toby Basalla LinkedIn

Founder / Principal Data Consultant

I have a long history of helping organizations solve business problems by using technology and data.

I look forward to meeting with your organization, learning its unique challenges, and working to develop the business intelligence systems you need to thrive.

Our Consulting Process

1. Identify The Goal

Every good initiative begins with a well defined end goal. Organizations that want to move ahead and develop better processes need to take time to determine what they want to get out of their data.

What are your key, pressing questions regarding your organization that could best be answered by data? Some of these questions could be related to:

  • Profitability
  • Effectiveness of Sales and Marketing
  • Program Effectiveness
  • Product Quality
  • Regulatory Compliance
  • Customer Satisfaction
  • Employee Satisfaction

Whatever your questions we can help you to determine the right data to answer the question and the right dashboard and visualizations to keep answering the questions for years to come.

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2. Evaluate Existing Systems and Processes

Part of the process is identifying all the places where your organization is storing data. A surprising amount of data in any organization is stored outside traditional data systems.

This could include:

  • Excel Spreadsheets
  • Access or other departmental databases
  • Google Docs
  • Dropbox/Cloud File Storage
  • Salesforce

We will work with you to either adapt your existing data systems or identify other ones that might better suit your needs. Developing a successful data strategy means identifying those data stores and determining a way to make them more robust and to share the data with other parts of the company.

3. Implement Data Architectures

Sometimes it makes sense to build a centralized repository for your data that gets loaded regularly with your key data elements. The design of such a system and its key parameters are driven by your vision and end goal.

This could include:

  • Data Marts
  • Data Warehouses
  • Data Lakes
  • SQL Server
  • Postgres
  • Amazon Redshift
  • Google BigQuery
  • Snowflake

Once we have a design for storing your data, it's time to build the highways to bring that data into your system. This often involves creating batch jobs to run on a regular basis to access the underlying APIs of your systems, extract and verify data, and load it into the data warehouse, or reconfigure data to be in a format that best supports your reporting requirements.

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4. Create Visualizations and Dashboards

During this phase we will consider the types of reporting systems that might best suit your needs: an existing software package such as Tableau. or a custom-made product tailored on your specific needs.

Some of the technologies we have worked with include:

  • Tableau
  • Power BI
  • Looker
  • Jupyter Notebooks

5. Envision The Future

Over the course of working with your new data systems you will determine other things that you need - perhaps some of your data analysis will raise other, related questions, or perhaps your organization will grow and new concerns will come to the forefront.

We are not the type of organization that leaves a project without support or future effort - we believe in maintaining relationships over the years and seek to help you to adapt and extend your systems to future anticipated—and unanticipated—needs.

We are invested for the long term to help your organization build the data infrastructure it needs to succeed.

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Contact Us

322 North Shore Drive

Building 1B, Suite 200

Pittsburgh, PA 15212

Phone number
+1 (412) 230-8552

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