{ "id": 3657, "date": "2023-07-23T11:25:05", "date_gmt": "2023-07-23T11:25:05", "guid": { "rendered": "https:\/\/sprinterranew.wpengine.com\/?page_id=3657" }, "modified": "2024-04-01T09:43:53", "modified_gmt": "2024-04-01T09:43:53", "slug": "data-management", "status": "publish", "type": "page", "link": "https:\/\/sprinterra.com.ua\/en\/data-management\/", "title": { "rendered": "Data Management" }, "content": { "rendered": "
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Data Management<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Unlocking Your Business Potential<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Today, data isn’t just numbers on a screen; it’s the lifeblood of your business. Every click, transaction, and interaction shapes your story, and managing this vast wealth of information is vital to your success. <\/p>

Business data comes from many places: SaaS platforms, such as your CRM, websites, third parties, IoT devices, and more.  In general terms, \u2018data\u2019 is usually associated with clients, prospects, employees, sales, competitors, and finances in business.<\/span>
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For example, transactional data is created by business applications while supporting daily operations; analytical data is generated through the analysis of transactional data and calculations to provide deeper insights.<\/p>\n

From customer relations to sales insights, from IoT devices to third-party platforms, data is at the heart of every decision you make. But without proper care, this vital resource can become overwhelming, leading to costly missteps.<\/p>\n

Enter Sprinterra’s data management services \u2013 where complexity meets clarity.<\/p>\n

Understanding Data Management<\/strong><\/p>\n

Data management isn’t merely collecting or storing information; it’s a delicate art of nurturing your business’s intellectual capital. It involves:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\"DATA\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\"Data\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Data Migration<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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is a process of moving data from one database to another<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Reconciliation and Integration<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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combining data from different systems to create a unified data set, eliminating errors, double entries, and typos<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Storage & Maintenance<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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is the practice of recording and preserving in data warehouses and data platforms – physical or cloud-based<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Processing<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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is a procedure of collecting and translating data into valuable insights<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Governance<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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is following rules and guidelines that define data management at a company<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Security<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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a process of protecting data from corruption, hacking, and theft<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Master Data Management<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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is a system that combats conflicting and redundant information<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Building a Secure and Reliable Data Management System<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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According to the Harvard Business Review, 90% of business leaders believe that data literacy is essential for success. But only one-fourth of employees are confident in the accuracy of their data. Managing data involves a lot of different concepts and variables, which gets confusing.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Data Management Vocabulary\/Glossary<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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MDM – Master Data Management (system)
CRM – Customer Management
EDW – Enterprise Data Warehouse
CDP – Customer Data Platform
Big Data – Data of high volume, high velocity, and high variety
Master Data – unique information that describes business’ core entities<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Technologies<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\tWe use the following software when building effective data management systems for our client\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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