When organizations talk about fixing their data problems, the first thing they often turn to is Master Data Management (MDM). It makes sense — when customer, product, and supplier data are scattered across multiple systems like Salesforce, D365, and SAP, the business can’t operate with confidence. But focusing on MDM [...]
You can’t build a solid structure on a shaky foundation—and the same holds true for your Master Data Management (MDM) strategy. While MDM is designed to unify and centralize critical business data, it only delivers real value when that data is accurate, complete, and consistent. Issues like duplicate customer records, [...]
In today’s digital landscape, organizations process vast amounts of data daily. Whether it’s customer transactions, supply chain logistics, or financial reporting, data drives strategic decisions across industries. However, the increasing complexity and volume of data bring significant challenges. Inaccurate, incomplete, or inconsistent data can lead to misguided decisions, operational inefficiencies, [...]
In the world of data, things rarely stay perfect for long. Even the most carefully managed datasets can run into problems—errors sneak in, information gets outdated, and inconsistencies start to pile up. The result? Flawed insights that can send your decisions off track.Most data quality issues go undetected in today’s [...]
“We’re not like your other organizations. Our data is terrible.” A familiar sentence that we hear from most people using or managing data in any organization. Good news for everyone is that no organization has perfect data. Any organization claims that their data is perfect, most likely that claim is [...]
Automating Data Reconciliation, Data Observability, and Data Quality Check After Each Data Load Over the last several years with the rise of cloud data warehouses and lakes such as Snowflake, Redshift, and Databricks, data load processes have become increasingly distributed and complex. Organizations are investing more capital in ingesting data [...]
What is Data Observability? Lets understand Data Observability and Why it is Important. Data observability is an organization’s ability to fully quantify the health of the data, proactively detect issues and quickly apply a mitigation plan before issues become a factor in lost revenue, ROI or branding. Data is the [...]
