Data democratization and integration needed to take advantage of massive data explosion

data It is the key to success for all parts of the business these days. Data analysis is no longer limited to a specific data-focused team, but rather conducted by anyone looking to gain insight into how well their team is performing, identify business value, efficiencies, inefficiencies, and much more.

But to be a truly data-centric organization, it means that those other departments need to be able to access the data that is inside their company. Unfortunately, this is not always possible because access to data is still a major issue for many organizations.

according to kdataAs a leading provider of data connectivity solutions, there are a number of reasons for this barrier to data, including data volume, complex data landscapes, inconsistent data models, disparate data storage solutions, and dark data.

Data-driven organizations have experienced exponential growth in data as they embrace modern SaaS and cloud-based technologies across their businesses. The increasing adoption of business applications is causing more data to be created, collected and utilized by more employees across the company. When companies left their offices and started working from home, they had to transform manual processes and local technology solutions into easy-to-use remote digital workflows. Combine that with the recent popularity of low-code tools that allow anyone in a company to build an app, and you can see how there’s been an unprecedented amount of data being generated by organizations.

CData explains that the massive data ecosystem becomes complex and unruly. Structured data, such as customer data stored in a CRM or spreadsheet, and unstructured data, such as social media comments or audio files, is created and stored, some on-premises and some in the cloud. This leads to the need for organizations to create a hybrid data ecosystem that includes all those different environments and storage mechanisms. The challenge comes at a time when different teams need to collaborate or share data using different models, where the same data can look very different on different teams and applications.

These teams may also have different data storage solutions. Data is formatted and organized differently when it comes from different owners with their own data conversion requirements. According to CData, when data is not organized based on business function or use, it is difficult to query data from different sources and find the right data. To compensate, a lot of time is spent making manual adjustments to the data, which can also lead to inconsistencies.

The final challenge is dark data, which is data obtained through business processes that is not intended to be used for analysis to drive decision-making. This data can include log files, past employee records, customer call records, and more. Many companies store dark data for compliance and legal purposes, but according to CData, organizations are often unaware of the sheer volume of dark data that is being collected. Dark data storage is expensive and brings very little value to the organization.

So how are companies supposed to overcome all of these challenges in order to manage the vast amounts of data they collect and democratize access to the vital data they need? The key is to have a solution in place that connects all of these data sources and allows easy access to lines of business throughout the organization.

CData solutions have helped thousands of companies address these data silos issues and enable the democratization of data across their organizations. For example, a major international recruitment firm has leveraged CData Sync, a codeless data integration software solution, to improve their data pipeline and gain greater insight into the customer journey.

The company has been using Salesforce to manage customer relationships, but parts of the customer journey are still isolated across a variety of services. CData Sync integrates customer data across multiple applications and maintains copies of that data within their preferred analytics platform. As a result, sales and marketing teams are able to get a 360-degree view of the entire Salesforce ecosystem and generate more comprehensive reports.

From this example, it is clear that democratizing data for use by multiple parties throughout the organization is key to being able to use this data to make decisions that will ultimately lead to business success.

Content provided by SD Times and CData.

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