Failure to have a clear strategy can be disastrous. When your data isn’t as good as you think it is, you draw the wrong conclusions and waste effort. Or, you can spend so much time collecting data that you miss the window of opportunity.
The conversations we have with our customers start with the end goal. And our customers continually show us the value in conducting due diligence on business processes to see how data and analytics can be used to achieve their business goals. Everything starts with an objective.
Tableau, Power BI, Looker, Qlik, Cognos, Oracle, SAP, MicroStrategy etc.
Net, Java, Scala, Python, Fullstack, Angular.js, Node.js, etc.
Snowflake, Synapse, Redshift, BigQuery, Oracle, Delta Lake, etc.
Python, Databricks, AWS Sagemaker, Azure ML, Snowpark, etc.
Azure DevOps, Kubernetes, AWS Code Pipeline, etc.
MS PowerApps, AWS Honeycode, etc.
ERP, CRM, SCM, EPM, PPM, etc.
Informatica MDM, Collibra, Stibo, Alation, Talend, etc.
MS Project, Jira, Primavera, Azure DevOps, etc.
Adobe, Salesforce, Google Marketing Platform, etc.
Spark, Databricks, AWS Glue, Azure Data Factory, DBT, Matillion, etc.