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May 2022 Summaries

8 posts from CData

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The data mesh is a socio-technical data management paradigm that challenges traditional monolithic data architectures by adopting a decentralized, domain-oriented approach to make data usable for all users in a company. It focuses on treating data as a product that can be discovered, understood, and trusted, and introduces a federated and computational model of data governance. The concept aims to bridge the gap between business needs and technology, recognizing the distributed nature of data and its various use cases. Data mesh is more philosophically and organizationally oriented than data fabric, which is driven by technical considerations. The framework has potential but is still in an early emerging stage with many weaknesses and challenges unknown. It can enable a wide range of use cases, including customer 360, marketing, data privacy, IoT device monitoring, AI and machine learning training, IT and DevOps, loss prevention, and M&A.
May 20, 2022 1,348 words in the original blog post.
CData Software is a leading provider of data access and connectivity solutions that streamline data access and insulate customers from complex integrations with on-premise or cloud databases, SaaS, APIs, NoSQL, and Big Data. The company offers various products and services including ETL/ELT solutions, cloud & API connectivity, OEM & custom drivers, and data visualization. CData Software aims to address the major data management challenges facing organizations today using a bimodal integration strategy.
May 17, 2022 156 words in the original blog post.
CData Connect Cloud` is a cloud-based service that enables users to connect their data sources directly to `Excel`, allowing for real-time access and visualization of organizational data. The service offers a Microsoft-certified Excel Add-In, supporting various versions of Excel, including Online, Windows, and Mac. It provides instant, frictionless access to 100+ data sources and applications, eliminating the need for manual data entry and copying/pasting. Users can easily work with unstructured data, create financial reports in real-time, and enjoy secure access and encryption. With its user-friendly interface and no-code implementation, CData Connect Cloud empowers business users to build accurate reports without relying on IT support for their data pipeline.
May 17, 2022 470 words in the original blog post.
CData Sync is a location-agnostic data integration solution that offers a secure and easy way to build data pipelines from cloud to on-premises storage locations, on-premises to cloud, or any combination that meets your needs. Many organizations turn to hybrid environments to comply with data privacy regulations and secure their data, but often face challenges managing connectivity across corporate firewalls. CData Sync helps organizations traverse these roadblocks by providing a secure and easy way to move data between cloud and on-premises systems without extensive security protocols. The solution offers features such as Change Data Capture (CDC), Enterprise-Grade Security, and control over the data being moved for regulatory compliance. With CData Sync, organizations can quickly and easily migrate their data from on-premises to cloud or vice versa, without the need for IT assistance.
May 16, 2022 802 words in the original blog post.
Sales forecasting is critical for businesses to make informed decisions about resource allocation and growth, but the accuracy of these predictions is often less than 75%, leading to intuition-based decision making. Incomplete data and data silos can exacerbate this issue, but CData connectivity solutions can help break down these barriers by providing easy access to organizational data across various platforms, enabling more accurate and timely forecasts. With CData's connectors to over 250 data sources, including Salesforce, businesses can create data-driven sales forecasts using tools like Power BI, empowering their Sales Ops teams to focus on the tasks that drive business success.
May 13, 2022 764 words in the original blog post.
In the realm of Sales Operations, data is the driving force behind modern business decisions, and its value can be maximized by understanding the relationships between different data silos within an organization. To empower sales teams, it's essential to break down these silos and relate different data sets to each other, providing a 360-degree view of customers and enabling more informed decision-making. A key relationship to consider is between Customer Relationship Management (CRM) systems and marketing automation platforms, as relating them together can unlock valuable insights into what marketing and sales pushes are most effective for specific customer bases. Automated data movement is crucial in ensuring that data ends up where it needs to be, regardless of manual intervention, and implementing a data automation platform with features such as breadth of connectivity, ease of use, and scalability can help organizations maximize the value of their Sales Ops data.
May 11, 2022 1,055 words in the original blog post.
To gain a complete picture of your customers' journey with your company, you need to leverage CData connectivity solutions to combine multiple technology platforms and create a 360-degree view. This involves connecting to various services such as Salesforce, QuickBooks Online, and Snowflake using credentials and navigating to the Connections tab in CData Sync. Next, you export Sales Ops data from these sources by creating replication jobs with customized queries and schedules. Finally, you create a dimensional model within your Snowflake database to build and populate fact and dimension views that can be dynamically queried to produce reports on customer behavior. With this 360-degree view, your Sales Ops team can gain deeper insights into accounts and arm Sales with the information needed to delight customers and close more deals.
May 05, 2022 913 words in the original blog post.
Optimize Your Sales Pipeline with Integrated Sales Ops Data` B2B sales are shifting towards digital touchpoints, which is expected to be 80% of B2B sales interactions by 2025. A smooth digital customer experience is crucial for sales success, but data sprawl and siloed information can hinder it. Integrated sales ops data is necessary to provide a 360-degree view of customers, analyze current processes, optimize end-to-end interactions, and increase sales in a digital-first world. This enables sales teams to access the right data at the right time, personalize leads, and close deals. Data-driven sales forecasting, sales and marketing alignment, and interdepartmental transparency are also crucial for sales success. CData can help organizations integrate and automate organizational data to improve sales processes and stay competitive in a customer-first future.
May 03, 2022 866 words in the original blog post.