September 2022 Summaries

In many organizations, departments work in isolation due to specialized tasks, but accessing and analyzing data across the entire organization can improve interdepartmental collaboration. Breaking down data silos is key to unlocking business insights for sales, marketing, accounting, and more. Effective collaboration requires teams to access and share data, automate processes, and make informed decisions. By leveraging tools like CData, organizations can enable better collaboration across their teams and drive business growth.

CData Drivers and connectors are prebuilt tools that enable data platforms to access a library of sources, offering real-time data access to teams. Data drivers offer a connectivity library written to a specific standard, while data connectors provide a tailored solution for client applications or use cases. The choice between drivers and connectors depends on the team's end goal, with line-of-business workflows often requiring point-and-click access to a specific tool, and technical users building around connectivity standards. SQL connectivity is crucial as it provides a universal language for accessing data from various sources, making it easier for IT teams to bypass custom programming and maintenance. CData Drivers and connectors use the SQL wrapper to bring any data source into desired data solutions, offering easy access and control over how organizations work with their data.

CData Technology is introducing Data Connectivity as a Service (DCaaS) to simplify data integration for data-driven enterprises, enabling better decisions with data by overcoming common challenges such as fragmented data, lack of expertise, and self-service limitations. DCaaS automates and simplifies integration capabilities, allowing users to connect to any source without technical expertise, and expanding connectivity options within the data ecosystem. This solution benefits IT organizations by unburdening them from requests for data connections, developers and users by accelerating analysis and reporting processes, and enterprises by enabling automation of key tasks to drive business decisions and actions. CData Cloud Connect is a part of DCaaS, providing latency-free, bi-directional data access across on-premises and cloud systems, allowing users to start using it without IT assistance.

Cloud migration is becoming increasingly important for businesses as it provides flexibility to work with data when and where needed. However, organizations face challenges such as navigating new cloud-native platforms, managing data security and compliance regulations, and overcoming technical hurdles like siloed tools and platforms. To overcome these challenges, many companies are adopting modern data connectivity solutions that enable seamless integration and automation of data across multiple locations. By leveraging these solutions, organizations can reduce costs, improve agility, and increase the effectiveness of their business operations.

CData provides self-service data connectivity solutions that enable business users to access and work with Workday data at any time and in any place without needing IT development. This allows organizations to use Workday in new ways, such as real-time analytics with Tableau or Power BI, and warehousing data for audit reporting. CData's solutions bridge the gap between Workday and various data tools or platforms, providing a wide range of use cases across industries, including non-profits, retailers, universities, and government organizations. By leveraging CData's connectivity solutions, these organizations can inject Workday data into more workflows with minimal IT overhead, reducing costs and increasing productivity.

Gartner defines data literacy as the ability to understand, share common knowledge of, and have meaningful conversations about data. Data literacy is essential in today's business, but without it, professionals are at risk of data misanalysis and misuse. Self-service analysis tools can drive useful business insights only if each user is sufficiently trained to access and analyze data. To overcome this obstacle, enterprises must support "data citizens" throughout the business by providing more guidance and resources to drive better decisions. Simplified self-service data connectivity tools make it easier for data citizens to work with data, giving them a step up in their data literacy journey. These tools enable citizen analysts to easily connect all their data with analytics tools, allowing them to generate up-to-date reports based on accurate and complete data. By introducing self-service data connectivity solutions alongside analytics tools, organizations can act today to empower business users to drive better decisions with data.

The modern data stack is evolving to address the challenges of growing data silos and technical talent shortages, with composable connectivity and self-service development rethinking its architecture. The legacy data stack was built on relational database management systems (RDBMS) and supporting technologies, but it struggled to scale with explosive data growth. Waves of cloud-centric data solutions arrived, but they often created more complexity than simplicity. Today's modern data stack lacks clean connectivity across on-premises and cloud data solutions, leading to business strategy gaps as data users wait for in-house programmers and ad hoc vendor solutions. A new generation of fully managed cloud-first data solutions is emerging, with tools like data pipelines, cloud-based data lakes and warehouses, data transformation tools, and data analysis tools that can unite the modern data stack into a composable architecture. This requires modular design, standards-based connectivity, self-service data access, and location-agnostic deployment to futureproof the modern data stack and manage its growing roster of sources, destinations, and data delivery tasks.