Data Management in Milwaukee, WI. As your Milwaukee, WI organization expands, data management becomes imperative to keep your information secure and ensuring it is being put to good use. At Data Dash, we’ve been entering, processing and converting data and helping businesses and organizations store data for almost 30 years. Reach out to us today at 314-939-1430 or contact us online to learn more about what we can do for you.
Data Dash offers data management services to enterprises in the following sectors in Milwaukee, WI:
- Commercial
- Government
- Healthcare
- Not-for-Profits
- Financial
- Education
- Energy & Utilities
- Transportation Data Management
- Human Resources
Data Management in Milwaukee, WI Defined
Data management is a comprehensive term that generally refers to how to turn data into a valuable resource. Effectively managing data is crucial in giving the best experience to your clients and and improving your internal processes. Common types of data that’s managed are:
- Customer records
- Answers to questionnaires
- Product information
- HR records
- Payroll information
- Reference data
- Enrollment records
- And more
Generally, data management permits companies in Milwaukee, WI to easily and successfully evaluate data in ways that help their internal procedures and provides a better customer experience.
Benefits of Data Management in Milwaukee, WI
New data is consistently being created. Every time a client purchases a service, follows your social media page, or signs up for your newsletter mailing list, it creates more information that could be useful for you and your clients. When that data is not maintained precisely, it can cause a disorganized mess of otherwise useful information that should be used to improve your organization.
According to the 2018 Global Data Management Benchmark Report, 95% of high-level professionals believe data is an integral part of high performance, and 89% think that imprecise data is impeding their ability to provide the most positive customer outcomes possible. With efficient data management, you’ll be able to:
- Be more productive
- Improve internal processes
- Become more agile
- Gain advantages over your competitors
- Be more cost-efficient, as your team won’t be spending hours or days sifting through inadequately organized data
- Respond faster to market trends
- Mitigate security risks
- Make more dependable decisions
Types of Data Management in Milwaukee, WI
As data management is a broad phrase, it contains a variety of factors in order to be done most effectively. Different processes involved in data management are:
Master Data Management (MDM)
Master data is the “who,” “what,” and “where” of data. For most Milwaukee, WI organizations, that includes customers, suppliers, products, and locational data. MDM is how that data is accumulated and stored.
Data Governance
Data governance refers to the overarching structure and oversight of data. It enables consistency and accountability in how data is processed and used. The end goal of data governance is availability, usability, consistency, data integrity, and data security. Data governance depends on clear communication between a data management provider and an organization.
Data Stewardship
A data steward is an entity that enforces the standards agreed to in data governance. They act as a liaison between an IT company managing the data in Milwaukee, WI and the enterprise where the data originates in order to verify that security, ingestion, and organization regulations are satisfied and that the data is being appropriately used. If data governance is a set of laws, data stewardship is the judiciary branch.
Data Architecture
Data architecture is the blueprint for data flows. This refers to the computerized aspect of data management. IT centers on merging the data with the business strategy. Data architecture is the technical side of data management, whereas data governance is the human side.
Data Warehousing or Data Lakes
A data warehouse collects data from a wide range of sources. A warehouse contains data that is structured, filtered, and processed for a specific purpose, and is ready for evaluation. A data lake is where you store data that is raw and has yet to be organized. The advantage of a data lake is that data can be stored in its natural format without needing to impose a formal structure on it.
Data Security
While particular products like Unibase by DMAC and Laserfiche® Enterprise Document Management software are useful tools to maintain the integrity of your data, managing data still requires active steps such as ensuring only authorized parties in Milwaukee, WI have access and more.
Data Integration
Data integration refers to merging data, usually in a process called extract, transform, and load. The goal is to move data from different media or storage locations to a single location so that all of the data is easily accessible on one platform. This can involve scanning paper documents and getting them to a computerized storage system, or moving files from physical storage to cloud.
Data Quality
Data quality management ensures maintain high-quality data to ensure its usefulness from when it is initially collected through its lifespan.
Check out the links below to see what other services we offer in Milwaukee, WI:
Milwaukee, WI Data Management | Data Dash
Data Dash offers holistic data management to organizations and companies throughout the United States. Our 50 locations nationwide wide are open 24/7, and our data management experts type at a 99.9981% accuracy standard. In addition to the standard advantages of data management in Milwaukee, WI, by outsourcing to us you can save valuable time and your workers will be able to spend their energy on the core tasks you hired them for instead of rote work. As our headquarters are in the middle of the country we are able to manage data anywhere in the country, and our rates are lower than many other data management providers in Milwaukee, WI. Call Data Dash today at 314-939-1430 or contact us online to learn more about how we can make your Milwaukee, WI enterprise flourish.