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Drive Decision-making with Better Data Onboarding 

Drive Decision-Making with Better Data Onboarding

Data is growing rapidly. Data engineers and data analysts are grappling with exhaustion to consolidate all data for insights delivery and decision-making. Many invest 80% of their time trying to identify the complex, bi-directional data and assess it, leaving little time to turn data into valuable insights that kickstart the business. 

Creating valuable insightful information from gathered data will require businesses to flip that ratio. Companies need to be able to mine information without delay to deliver delightful CXs and faster value. And to effectively convert data into actionable intelligence, they need to reimagine their ways to onboard their data to enable organizations to analyze data and make decisions accordingly. Here are three proven strategies on how to leverage data onboarding to drive decision-making and ultimately value generation: 

1. Leverage Modern Data Integration Solutions 

Companies need to employ robust data integration strategies to allow businesses to onboard data faster – in hours instead of weeks or months. They can create onboarding connections quickly by pointing and clicking through easy screens. At the same time, IT is freed up from everyday implementation but continues to serve in a governance role, managing the integration landscape while being freed from complex, thankless API coding and EDI mapping. IT can focus on more high-value tasks instead of struggling with the responsibility of building integrations. 

As businesses are empowered to onboard data from partners, customers, suppliers etc. faster, they can connect with them and therefore deliver the value they’ve been promised. This helps companies upsell their customers and ultimately increase revenue. 

2. Include Non-technical Users in the Data Onboarding Process 

Many companies still rely on their team of developers or IT to onboard complex, voluminous, disparate data into their business ecosystems. Many times IT teams take six to 12 weeks of calendar time to create data onboarding connections. That stops them from focusing on more high-value tasks. Bringing non-technical business users to the forefront of business can be a game-changer. 

Self-service-powered solutions enable non-technical business users to onboard customer data in minutes instead of months. With features like pre-built applications connectors, shared templates, dashboards, and AI-data mapping, non-technical users can onboard, integrate, and analyze complex data streams at speed and scale. That enables organizations to facilitate faster business transactions, ultimately improving their ease of doing business and revenue generation. 

3. Evaluate, Control, and Record Each Data Journey

When business leaders fail to understand the nature of data they own, they’re not able to make required security and privacy considerations. In many cases, this leads to data silos that limit the availability and value of fundamental data streams. 

As data onboarding is strengthened by cataloging as well as data ownership, business leaders can hone their metadata and governance and security capabilities that guard users to access data without risk of breaches or thefts. 

The flow and complexity of data will grow over time, and companies that can onboard, integrate, and harness information and quickly convert it into insights will separate the leaders in the pack. With robust data onboarding in place, companies are better positioned to drive data-driven decision-making that includes non-technical business users sharing the responsibility beyond IT. In short, data onboarding can enable companies to efficiently use data, harnessing the volumes of data they’ll need to make intelligent decisions in the future.