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Data Advisory Services & Consulting

Our data engineers run a series of interviews, data exploration, and other activities to learn more about your  existing data practices.  Once we have learned more, we translate the information learned into a direction action we can help solve for.  The results are data storytelling where we can provide leaders with the right information they need to make the right strategic decisions.

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Our team can help end your data struggles. Contact SPK today!

Our Data Advisory Services & Consulting

 

SPK delivered a data solution 6x faster than competitors, saving a global SaaS leader 75% in costs. We integrated disparate data sources into a unified pipeline using AWS, Snowflake, Matillion, and Grafana, providing quick access to key metrics and freeing the client’s team to focus on core development. For more details, see the full case study.

Our Data Engineering Services

Collect & Validate

Our experts will check for the right data being present at the source.  Many bad decisions can be made if the data being collected tells a different story than reality is.  Our teams work with yours to determine the data sources and validate accuracy.

In-depth Analysis

Whether it’s going through data line by line, or using AI and Machine Learning, our team will analyze the problem data for patterns, and other insights that may have been missed.

Data Storytelling

After our in-depth analysis, our experts review business and technology workflows to provide a story to business leaders in order to show the reality of business workflow at present, and what changes may look like.

Data Advisory Services

Data maturity is key for enterprises to succeed.  Whether it’s business intelligence reporting, machine learning, artificial intelligence, or data repositories like a data warehouse or data lake, if you’re not integrating these into your IT and business strategy, you’re already behind.

Talk with an Expert

SPK's Approach to Visibility and Reliability

SPK won't just install Solarwinds and walk away.  We go beyond traditional monitoring to achieve full stack observability and look at technology through a business lense.  

 

Asset Analytics

  • Real-time asset monitoring and tracking
  • Predictive and preventive maintenance
  • Developing asset maintenance strategies
  • Planning asset investments
  • Planning and scheduling asset modernization/replacement/disposal strategies

Sales Analytics

  • Sales channel and lead source analytics
  • Pricing analytics in order to design pricing strategies
  • Identifying and predicting sales trends
  • Conducting product performance analysis
  • Tracking customer interactions with a product to identify pain points leading to churn

Financial Analytics

  • Financial drivers beyond simple accounting reports (income statement, balance sheet, etc)
  • Profitability by service or product type
  • Profitability analysis and financial performance management
  • Budget planning, formulating long-term business plans
  • Financial risk forecasting and management

Manufacturing Analytics

  • Manufacturing process quality optimization
  • Manufacturing process efficiency analysis and optimization
  • Equipment maintenance scheduling
  • Overall equipment effectiveness analysis and optimization
  • Power consumption forecasting and optimization
  • Production loss root cause analysis

Service Industry Analytics

  • Profitability by service type analysis
  • Profitability analysis and financial performance management
  • Resource/Consultant utilization vs. income analysis
  • Growth by resource analysis / Repeat Business Rate
  • Customer acquisition analysis

Healthcare Analytics

  • Patient treatment optimization
  • Assessment of patient risks and plan evaluation
  • Pattern and trend identification for proactive care plans
  • Insurance fraud analysis and optimization
  • Medical staff workload analysis and work optimization
  • Optimization of clinical space and equipment usage

But How Do We Get Those Analytics?

Data Collection First

To understand the challenge of being able to report on, and view graphical representations of the data mentioned above, you must have the foundational stage of data collection, and data storage in an acceptable state.  Many mid-market companies do not have the resources to do this properly, which means they lack the visibility into critical parts of their business.

Data Engineering Architects

This is where SPK and Associates shines.  Our team understands how small companies grow into mid-market companies.  We understand how large organizations can have data everywhere but not aggregated in order to make good decisions.  Our experts know the differences between databases, data warehouses and data lakes and know when to use each.  In most instances, we start with data cataloging which will help organize the data lake where you can attribute the type of data, what information it contains and what it doesn’t.  This is where your data becomes more structured.  Data pipelines are the glue between all the steps of the data collection lifecycle.  Having a data data pipeline allows you to bringing the data in repeatedly.  Our team can help create your data pipeline from source of data to consumption of analytics using extract, transform, and load (ETL)

SPK’s Data Experience

Review our case studies, blogs, or white papers related to data engineering and analytics.  Our team has years of experience using different platforms, applications and data repositories to bring data to life.  Contact us today and tell us what your perfect report looks like.

What Our Clients Say

SPK has been an invaluable partner in transforming our software development process. With SPK's guidance, our team embraced efficient methodologies and cutting-edge tools, significantly improving our development cycle and product quality.

Joshua Talbert
CEO, mysherpas

Working with SPK feels like working with co-workers in my company, not like interacting with a typical technical support vendor. SPK staff are responsive and partner with me.

Jay DiToro

Director of Systems & Technology, Veranex

The personalized attention and detailed communication we receive working with SPK and Associates is pretty special. The accessibility of SPK team members is impressive.

Evan Bruck

Director, Active Device Research and Development, BBraun Medical Inc.

Recent Data Engineering & Data Analytics Case Studies

Optimize Your Databases with Azure SQL

Optimize Your Databases with Azure SQL

Tackling Cultural Resistance to Enhance Data-Driven Decision Making

Tackling Cultural Resistance to Enhance Data-Driven Decision Making

Related Data Engineering Resources

Optimize Your Databases with Azure SQL

Optimize Your Databases with Azure SQL

Making data-driven decisions is one of the most valuable things a business can do to achieve and maintain success. Businesses thrive on their ability to make intelligent, timely decisions based on accurate, accessible data. Without the use of data to inform their...

OKR and Agile: Harmonizing Strategic Goals with Agile Methodologies

OKR and Agile: Harmonizing Strategic Goals with Agile Methodologies

Objectives and Key Results (OKRs) and Agile methodologies like Scrum, Kanban, and SAFe are powerful frameworks designed to boost productivity and keep teams aligned. OKRs drive strategic goal-setting and measurable outcomes, while Agile approaches like Scrum focus on...

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Jira’s flexibility and ease-of-use make it a go-to platform for project and issue management.  However, repetitive tasks like creating and transitioning issues can become time-consuming for its users.  Fortunately, Redmoon Software has created an ​​Atlassian...

Measuring the Impact of AI on Product and Development Teams

Measuring the Impact of AI on Product and Development Teams

Generative AI is transforming the software development industry, enabling teams to develop, secure, and operate software more efficiently. GitLab is no exception. Its AI-powered suite, GitLab Duo, aims to optimize workflows across the entire software delivery...