Data Services

Data Architecture, Engineering, and
Analytics Consulting

Let our high-performing autistic teams take your data quality higher

Your data is the power to learn business insights, drive revenue growth, leverage the power of AI, and automate manual tasks (RPA). auticon can help. Our consultants are all on the autism spectrum, meaning they have unique skills that make them exceptional at wrangling and reporting on large data sets. Through the cognitive benefits of autism, our consultants are excellent at noticing patterns in data, identifying anomalies in modeling, and concentrating for extended periods with little mental fatigue.

Benefits of autism include:

  • 48% faster job performance (JP Morgan Chase)
  • 92% more productive (JP Morgan Chase)
  • Real innovation through unique perspectives
  • Solutions for ‘unsolvable’ problems
  • Bulletproof results through amazing perseverance
  • Refreshingly honest perspectives

Data consulting services overview

Our service portfolio addresses 3 specific problem areas:

1. Data Architecture

(Data modeling, integration, migration strategy, security, and operationalization)

  • Defining and implementing robust methodologies with checks to ensure high data quality
  • Extracting and converting data sets (ex. Excel/Access/SAS to Python)
  • Data linking, mapping of master data
  • Data modeling
  • Schema development, migration, and management
  • Data operationalization
  • Data security

Skills

Primary: Data schemas, transactional design, formats, bases, stores, platforms, warehouses, lakes, tools, messaging patterns, streaming, security, scheduling, discovery, provenance, tracing, and compliance

Secondary: Data Engineer skills, Data Analyst skills

Auticon's data sciences team

2. Data Engineering

(Data integration, streaming, messaging, cleansing, transformation, normalization, and migration)

  • Acquiring (ELT, ETL, API, tools), integrating, and transforming data from multiple sources
  • Labeling or tagging information for ML
  • Writing scripts/compilers to automate migration

Skills

Primary: Data schemas, transactional design, formats, bases, stores, platforms, warehouses, lakes, tools, messaging patterns, streaming, security, scheduling, discovery, provenance, tracing, and compliance

Secondary: Data Engineer skills, Data Analyst skills

3. Data Analytics

(BI, data visualization, analysis, data warehouse/lake, reporting, and observability metrics and events)

  • Turning complex data into easily digestible formats, impactful reports and insight
  • Developing and maintaining dashboards and reports to support analytics initiatives
  • Discovering meaningful patterns in large, complex data sets involving methods at the intersection of machine learning, statistics, and database systems
  • Extracting and converting data sets (ex. Excel/Access/SAS to Python)
  • Detecting errors/anomalies and testing analytics workflows

Skills

Primary: Power BI, Tableau, Python, Java, Snowflake, Dataframe (R), SQL, Google Data Studio, Dax, D3, Chart.js, WolframAlpha, Mathematica, MATLAB, SAS

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