End-to-End Data Consulting

MetaModelR provides consulting across the full data lifecycle: from initial engineering and integration through to advanced modelling and analytics. Our consultants support government agencies, financial institutions, and commercial enterprises with solutions that are robust, maintainable, and aligned with international standards.


Focused Expertise, Practical Outcomes

We specialize in data engineering and analytics rather than broad IT generalism. This deliberate focus allows us to deliver practical results where they matter most—supporting functions such as finance, marketing, risk management, and research. Our aim is to integrate solutions directly into business processes and provide measurable improvements in efficiency, accuracy, and decision support.


Bridging Technical and Business Domains

Many organizations find that traditional developer or engineering teams lack the applied business and scientific perspective required to move beyond dashboards into predictive and prescriptive analytics. Conversely, business analysts may face technical barriers in accessing and preparing complex datasets. Our consulting practice bridges this gap: combining technical depth with business awareness to ensure data is transformed into reliable, actionable insight.


Whether the challenge involves accessing legacy systems, working with large-scale distributed environments, or building advanced statistical and machine learning models, MetaModelR helps clients establish dependable workflows that deliver consistent value over time.


OUR EXPERTISE

Programming

Python
90%
C++
80%
R
40%
Scala
50%
SQL
70%
Spark
90%
Three.JS
90%
Javascript
50%

Databases

BigQuery
90%
MongoDB
80%
Oracle
40%
Teradata
50%
SQL Server
70%
Netezza
90%
DB2
70%
SQLite
70%
Redshift
70%
Neo4j
70%

Data Engineering

Data Integration Tools (Talend, DataStage, Informatica)
90%
Big Data Storage Formats (Parquet, ORC, Avro)
80%
Hadoop Ecosystem (HDFS, MapReduce, Sqoop, Hive)
40%
MS Azure (VM, Blobs, Containers, CosmosDB)
50%
Analytical Appliances (Teradata, Vertica, Netezza)
70%
Cloud PaaS Solutions (Snowflake, AWS Redshift)
90%
Data Integration: ETL, EAI & EII
90%
AWS (EC2, S3, RDS, EMR, Athena)
50%
Linux, Windows & DOS Scripting
50%
Batch / Real Time (Flume, Kafka, Storm)
50%

Data Modelling

Data Warehousing (3NF, Kimbal, Inmon, Data Vault)
50%
SCDs, CDC, OLTP, OLAP
70%

Data Analysis

Visualisation (Power BI, Qlik, Tableau, Apache Superset)
90%
Scripting (VBA, SAS, JavaScript)
80%
Sorting & Matching Algorithms
40%
Data Quality, Imputation, Anomaly Detection
50%
Credit & Market Risk Analytics
70%
Fraud Detection Analytics
70%
Marketing Analytics
70%

Data Science

Regression Analysis
90%
Classification
80%
Clustering and Segmentation
40%
Time Series Analysis
50%
Dimensionality Reduction
70%
Anomaly Detection
90%
Association Rule Mining
90%
Survival Analysis
50%
Natural Language Processing (NLP)
50%
Ensemble Methods
50%

Machine Learning Operations (MLOps)

mlFlow
90%
SageMaker
80%
H2O
40%
TensorFlow (TFX)
50%
Population Stability Analysis
70%
Stress Testing
90%
AIOps
90%
Model Calibration
50%

Technology Used