Utica, NY

Utica, NY

Data Management in Utica, NY. As your Utica, NY organization grows, having your data organized, protected, and easy to access through data management services is critical. At Data Dash, we’ve been entering, processing and converting data and helping companies 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 organizations in the following industries in Utica, NY:

What is Data Management in Utica, NY?

Data management is a comprehensive expression that includes data entry, organization, protection, and archiving of data that is collected and created. Effectively managing data can help unlock new efficiency in an organization and offer valuable new information and analytical capabilities. The data being managed can be almost anything, including:

  • Customer records
  • Surveys
  • Product information
  • HR records
  • Payroll information
  • Reference data
  • Mailing lists
  • And more

Fundamentally, data management allows businesses in Utica, NY to straightforwardly and successfully analyze data in a manner that helps their internal procedures and provides a improved customer experience.

Benefits of Data Management in Utica, NY

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, that’s new information that needs to be assessed. When that data is not organized accurately, it can result in a jumble of otherwise useful information that won’t end up helping your company at all.

According to responses to the 2018 Global Data Management Benchmark Report, 95% of CEOs, CFOs, and COOs think data is imperative to obtaining the best results, and 89% think that unreliable data is reducing their ability to provide their clients with the best experience. With efficient data management, you’ll be able to:

  • Be more productive
  • Improve internal processes
  • Implement more agile practices
  • Gain advantages over your competitors
  • Be more cost-efficient, as your team won’t be spending time pouring through poorly organized data
  • Respond quicker to market trends
  • Lessen security risks
  • Make more dependable decisions

Data Management Utica, NY | Data Processing | Data Entry Near Utica

Types of Data Management in Utica, NY

As data management is a wide-ranging term, it includes numerous operations in order to have the most amount of benefit. Different processes involved in data management are:

Master Data Management (MDM)

Master data is a set of identifiers that provides context for organizations. For most Utica, NY organizations, that refers to clients, suppliers, products, and locational data. Master database management is how that data is accumulated and stored.

Data Governance

Data governance refers to the underlying structure and oversight of data. It enables consistency and accountability in how data is processed and used. The goal of data governance is availability, usability, consistency, data integrity, and data security. Data governance depends on transparent communication between a data management provider and an organization.

Data Stewardship

A data steward is an entity that imposes the regulations created in data governance. They behave as go-between between an IT company processing the data in Utica, NY and the enterprise that needs to interpret the data in order to authenticate that security, ingestion, and organization regulations are satisfied and that the data is being properly used. If data governance is the legislative or executive branch, data stewardship is the judiciary branch.

Data Architecture

Data architecture is describes the models that connect your business strategy with your data management. This refers to the technological aspect of data management. The objective is integrating the data with the organizational goals. If data governance relates to employees and workflow, architecture refers to framework design.

Data Warehousing or Data Lakes

A data warehouse collects data from a wide range of sources. A warehouse stores data that is structured, filtered, and processed for a specific purpose, and is ready for analysis. A data lake is a system that holds all data, whether structured or unstructured. The benefit of a data lake is that data can be stored raw without needing to impose a formal structure on it.

Data Security

While particular software like Unibase by DMAC and Laserfiche® Enterprise Document Management software are built to keep your data safe and secure, managing data still necessitates active steps such as preventing accidental deletions or alterations and more.

Data Integration

Data integration refers to consolidating data, generally in a process called extract, transform, and load. The goal is to have all of your data in one system. This can involve scanning paper documents and getting them to a computerized storage system, or moving data from physical storage to cloud.

Data Quality

Quality managers are responsible for keeping an eye on and crawling data to ensure there are no incomplete data, filtering out any below par data, and more.

Check out the links below to see what other services we offer in Utica, NY:

Utica, NY Data Management | Data Dash

Data Dash offers holistic data management to our clients throughout the United States. Our 50 work stations nationwide wide are open around the clock, and our data management specialists work to a 99.9981% accuracy rating. Beyond the aforementioned benefits of data management in Utica, NY, by outsourcing to us you can save valuable time and your workers will be able to spend their energy on the the more important aspects of their job. As our headquarters are in the middle of the country we are capable of managing data from coast to coast, and we do not charge as much than many other data management providers in Utica, NY. Call Data Dash today at 314-939-1430 or contact us online to learn more about how we can make your Utica, NY company flourish.