{"id":14670,"date":"2021-11-18T05:00:00","date_gmt":"2021-11-18T05:00:00","guid":{"rendered":"https:\/\/www.unqork.com\/resources\/data-silos-form-due-to-inadequate-tech-break-them-down-with-no-code\/"},"modified":"2024-06-04T11:08:45","modified_gmt":"2024-06-04T16:08:45","slug":"data-silos-form-due-to-inadequate-tech-break-them-down-with-no-code","status":"publish","type":"resources","link":"https:\/\/www.unqork.com\/resource-center\/blogs\/data-silos-form-due-to-inadequate-tech-break-them-down-with-no-code\/","title":{"rendered":"Data Silos Form Due to Inadequate Tech. Break Them Down With No-Code."},"content":{"rendered":"\n
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Data Silos Form Due to Inadequate Tech. Break Them Down With No-Code.<\/h1><\/div>\n<\/div>\n<\/div><\/section>\n\n\n\n
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Data silos prevent collaboration, create operational inefficiencies, and compromise bottom lines. Learn how no-code helps modern organizations break down data silos and level up. <\/span><\/em><\/p>\n

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Collecting, storing, and managing large quantities of data is key to keeping modern enterprises running, but many teams struggle to find the data they need. Between multiple CRM systems, spreadsheets, and department-specific applications, there are a lot of places to look and before you know it, you\u2019ve spent hours tracking down a single data point. <\/span><\/p>\n

Data silos are to blame, but what are they? How do they form? How can they be broken down? Here\u2019s everything you need to know. <\/span><\/p>\n

How data silos occur<\/span><\/h2>\n

A data silo forms when only one group within an enterprise has access to a collection of data, and the data doesn\u2019t integrate well across any other tools, systems, software, or applications. Although data silos can include any data, even raw data, most silos tend to be department-focused. For example, all the data gathered, used, and stored by your enterprise\u2019s finance team might be contained within the finance team\u2019s data silo, and other departments cannot easily access that data on their own.    <\/span><\/p>\n

Unfortunately, data silos naturally occur over time as different departments gather, store, and use data for their own purposes. Beyond that, data silos are typically the result of:<\/span><\/p>\n

Inadequate technology<\/span><\/strong>
A department might rely on any number of technologies and SaaS applications to complete day-to-day tasks, which isn\u2019t necessarily a problem in itself. The problem is that these technologies often don\u2019t allow easy access, sharing, or training, and silos can quickly form. Also, some departments are guilty of using low-quality, off-the-shelf software from time to time that isn\u2019t advanced enough to facilitate quick data transfers. <\/p>\n

Limited integrations<\/span><\/strong>
Similarly, data silos can form when enterprises don\u2019t have the native integrations needed to connect the disparate systems in their tech stack. Or, the data integrations only go one-way so data might fall through the cracks and cause inconsistencies between syncs.<\/p>\n

Company culture\/organizational structure<\/span><\/strong>
Sometimes technology isn\u2019t the culprit! Different departments become like different branches of a family over time and they all have their own separate habits and ways of working. It\u2019s perfectly natural, but this organizational structure doesn\u2019t do you any favors when it comes to sharing data across teams.<\/p>\n

How data silos hurt your enterprise<\/span><\/h2>\n

Data silos may be natural, but that doesn\u2019t mean they\u2019re harmless. Data silos compromise your enterprise\u2019s data quality and integrity in numerous ways, which in turn compromises operational efficiency, productivity, and agility.<\/span><\/p>\n

\u201cGood\u201d data is accessible, easily understood across your organization, easy to find, and easy to trust once it has been found. \u201cBad\u201d data develops as a result of data silos. Data silos often contain duplicative, incomplete, outdated, or inaccurate data because no one\u2019s sharing information across departments. Data silos also make it challenging to source where the original data came from. Gathering the right data and cross-referencing information from each department wastes time, and correcting the data entry errors slows down processes even more. <\/span><\/p>\n

Other challenges presented by data silos include: <\/span><\/p>\n

Poor customer experience<\/span><\/strong>
In most businesses today the customer journey winds through multiple departments across an enterprise. When data is siloed, representatives from each individual department must pull up their own records for the same customer, and oftentimes that data doesn\u2019t match. The internal disconnect across departments forces customers to repeatedly enter the same information, or the customer might receive different answers to the same question based on each department\u2019s understanding. With American businesses losing $1.6 trillion<\/a> annually due to poor customer service, data silos are more than enough to sink a business.<\/p>\n

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With American businesses losing <\/span>$1.6 trillion<\/a> annually due to poor customer service, data silos are more than enough to sink a business.<\/strong><\/p>\n<\/blockquote>\n

Poor collaboration between teams<\/span><\/strong>
Data silos can also chip away at your company culture. When each department is responsible for their data alone and other departments can\u2019t easily access it, collaboration breaks down. Team A doesn\u2019t know what Team B is doing or what information they\u2019re working from, which only makes it more difficult to operate efficiently and meet customer needs. Also, constantly remedying data inaccuracies, eliminating duplicates, and simply locating data within silos can compromise employee engagement<\/a>. <\/p>\n

Financial losses <\/span><\/strong>
The financial costs of data silos quickly add up\u2014the time your employees spend reconciling data issues is time taken away from more valuable business endeavors. If your billing and customer service departments aren\u2019t sharing data, the right people might not get billed. If your marketing and sales departments aren\u2019t sharing data, you\u2019re missing out on opportunities to reach out to new prospects and generate new leads. Data silos can also cost you money by using up your valuable resources. Storing the same data in multiple places takes up a lot of storage space, and you\u2019ll soon find yourself spending a significant amount of your yearly tech budget buying and maintaining storage space you otherwise wouldn\u2019t need.<\/p>\n

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