As per Gartner, only 20% of analytics initiatives drive business outcomes. Despite all the investments that are made in data processing infrastructure:- Decision makers don't have accurate reports and dashboards- Analysts and data scientists can't access the data they need- Data engineers are constantly firefighting to resolve escalations This is because data from sources (eg: ERP systems, customer-facing systems, spreadsheets etc) is not easily accessible by analysts. Several tools exist, but in-house expertise to stitch them together reliably is lacking, and expensive to acquire.Logarithm Labs provides Data Engineering as a Service; where we stand up and operate custom data infrastructure - so analysts have fresh, accurate data accessed easily via a catalog, enabling them to produce impactful reports for management - at a fraction of the cost and time to do this in-house.How we help data teams:We take requirements from your data engineering/ architecture teams and tailor pipelines to fit your needs. This includes connecting to data sources, extraction, cleansing, joining, transforms, automation, etc. to create the metric tables that can be accessed via your tools of choice. To learn more, contact us at hello@logarithmlabs.com.