Data Management in Albany, NY. As the world becomes more data-driven, having your data organized, safeguarded, and easy to access through data management services is essential. At Data Dash, we’ve been entering, processing and converting data and helping businesses and organizations store data for over 25 years. Give us a call today at 314-939-1430 or contact us online to learn more about our services.
Data Dash offers data management services to enterprises in the following fields in Albany, NY:
- Commercial
- Government
- Healthcare
- Not-for-Profits
- Financial
- Education
- Energy & Utilities
- Transportation Data Management
- Human Resources
What is Data Management in Albany, NY?
Data management is a comprehensive term that refers to the collection, archiving, and use of data in order to be more efficient, productive and cost-effective. 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 information
- Answers to questionnaires
- Product data
- HR records
- Financial data
- Reference data
- Mailing lists
- And more
Fundamentally, data management allows enterprises in Albany, NY to simply and successfully analyze data in a manner that aids their internal processes and helps them serve their clients better.
Why Do I Need Data Management in Albany, NY?
New data is consistently being created. Every time a customer utilizes your services, likes a post on Facebook or Twitter, or updates their contact information, a new piece of data is generated. When that data is not kept accurately, it can result in a jumble of otherwise useful information that should be used to improve your organization.
According to data from 2018 Global Data Management Benchmark Report, 95% of CEOs, CFOs, and COOs think data is imperative to obtaining the best results, and 89% are of the opinion that that incorrect data is impeding their ability to provide excellent customer service. With effective data management, you’ll be able to:
- Be more productive
- Improve your organizational strategy
- Implement more agile practices
- Gain advantages over your competitors
- Save money, as your employees won’t waste time pouring through poorly organized data
- Respond quicker to market trends
- Mitigate security risks
- Make more dependable decisions
What Is Involved in Data Management in Albany, NY?
As data management is a comprehensive phrase, it includes countless factors in order to have the most amount of benefit. Different factors that go into data management are:
Master Data Management (MDM)
Master data is a set of identifiers that describes the core entities of an organization. For most Albany, NY organizations, that refers to clients, suppliers, products, and locational data. Master database management is the organization and storing of master data.
Data Governance
Data governance is creating internal regulations for the management of data. It ensures that both the data and data entry and collecting systems are consistent. Data governance also ensures 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 someone that imposes the policies agreed to in data governance. They behave as a liaison between an IT department collecting and storing the data in Albany, NY and the organization the data comes from in order to authenticate that security, intake, and organization regulations are satisfied and that the data is being correctly used. If data governance is the legislative or executive branch, data stewardship is the judiciary branch.
Data Architecture
Data architecture is the framework for how an IT department supports your data strategy. This refers to the computerized aspect of data management. IT centers on integrating the data with the business strategy. If data governance relates to people and process, architecture refers to technology design.
Data Warehousing or Data Lakes
A data warehouse is a central repository of information. A warehouse stores data that is structured, filtered, and processed for a specific purpose, and is capable of being analyzed. A data lake is a central location that stores all data, whether structured or unstructured. The advantage of a data lake is that data can be maintained “as-is” without needing to process it.
Data Security
While specific products like Unibase by DMAC and Laserfiche® Enterprise Document Management software are built to maintain the integrity of your data, managing data still requires active steps such as preventing accidental changes and more.
Data Integration
Data integration refers to merging data, typically in a process called extract, transform, and load. The aim is to eliminate the need to look for different data in different places or systems. This can involve scanning paper documents and going paperless, or moving information from physical databases to cloud.
Data Quality
Quality managers are responsible for monitoring and crawling data to ensure there are no corrupted data, filtering out any below par data, and more.
Take a look at the links below to see what other services we offer in Albany, NY:
Albany, NY Data Management | Data Dash
Data Dash offers A-to-Z data management to organizations and companies throughout the United States. Our 50 work stations nationwide wide are open 24/7, and our data management technicians type at a 99.9981% accuracy rating. Beyond the standard benefits of data management in Albany, NY, by outsourcing to us you can save valuable time and your employees will be able to perform the the more important aspects of their job. As our headquarters are in the middle of the country we can manage data from coast to coast, and we are much more affordable than many other data management companies in Albany, NY. Call Data Dash today at 314-939-1430 or contact us online to learn more about how we can make your Albany, NY business or organization more efficient and productive.