MindStream's Enterprise Data Management Solutions
Disparate systems create data quality concerns across the
enterprise. Applications with proprietary databases, legacy
systems, cloud and hosted applications, and your own Enterprise
Resource Planning (ERP) don't always talk well together.
Erroring data streams, mismatched metadata, duplicate data,
re-keying data - all create problems for your data management. MindStream
Analytics can help.
TAKING YOUR DATA TO A NEW LEVEL FOR GREATER BUSINESS VALUE
We believe in connected data and technology advancements have made it easy to collect and store data,
but organizations are struggling with how to keep pace with it and leverage it for business value.
With all of this data, created and stored in a multitude of systems, the challenge becomes bringing it all together.
How do you unite it, in a central location, where it can be cleaned, formatted, validated, reorganized, summarized, and supplemented
with data from other sources and then leveraged by other tools for reporting, analysis and decision-making?
If you thought it was challenging before, how will you handle big data now?
The MindStream team are experts in advising, architecting and implementing data management solutions.
Whether you're faced with dirty data, trying to make sense of unorganized data, or looking to uncover opportunities
to leverage big data we can help you unlock the true value of your enterprise data. We've got answers and options.
Our implementation services include:
Enterprise Data Management (Data Warehousing, Operational Data Stores, Data Marts)
Big Data and Data Science (Data Hubs/Lakes)
Data Integration (Profiling, Quality Management, Data Movement)
Master and Reference Data Managemen
Master Data Management
Master data management provides processes for collecting,
aggregating, matching, consolidating, quality-assuring,
persisting and distributing enterprise level data and metadata
throughout an organization to ensure consistency and control in
the ongoing maintenance and application use of this information.
A good master data policy and system can improve maintenance,
minimize rework, and improve your reporting and analysis.
Good master data management practice is a combination of
business process and using a software tool that can removing
duplicate, standardize data, and incorporate rules to eliminate
incorrect data from entering the system in order to create an
authoritative source of master data. MindStream doesn't just
implement software - we incorporate business best practices to
make sure your Master data are the universal library of
products, accounts, employees and customers that your enterprise
uses. We identify root cause problems for redundant data being
entered by identifying and empowering that authoritative source
- without bogging down your business in the process.
This is a great area to see ROI and productivity gains for
your business. Let MindStream's Master Data experts streamline
your information architecture.
Data Collection, Mapping, and Integration (Formerly known as ETL)
Data Quality is crucial to your organizations ability to make
informed decisions. When you're combining data from different
sources to provide a unified view of the collected data, you
open yourselves to errors and kickouts, duplicate data, and
mismatched records. You can also expose issues with version
control and update frequency as your business uses more
disparate systems. MindStream Analytics has many software tools
and best practices to help your company improve your data
quality and streamline your business process. We carefully map
your data streams, identifying priority and master data -
reducing cascading effects of data shared by multiple systems.
We can also automate your data feeds for lights out
Because MindStream has global customers with 24/7/365
operations, our experience allows us to offer solutions that
have immediate impact on your data quality.
Gain Control of your Data!
Master Data and Data Integration rely on a process of
controls and standards to maintain data definition and
integrity. Data governence employs quality monitoring and
stewardship to maintain these standards. MindStream Analytics
can help ensure that your data assets are formally managed
throughout the enterprise. Our best practices employ processes
and procedures help you ensure that your data can be trusted and
that there is transparency and accountability in your data
model. If you want to gain control of your data, contact
MindStream Analytics today.