January 2023 Summaries

Understanding advertising profitability on Amazon as an Amazon vendor is crucial for optimizing sales and revenue. The Amazon Vendor dashboard provides comprehensive advertising insights, but blending this data with retail sales data is currently not possible, requiring manual extraction or third-party software tools. However, CData Virtuality offers a solution to extract and analyze important sales and advertising data from vendor accounts, providing flexibility and scalability for vendors. By leveraging the full range of Amazon advertising options, including Sponsored Products, Brands, Display, and Demand-Side Platform (DSP), advertisers can optimize their campaigns, track performance, and gain valuable insights into customer behavior and trends. Ultimately, accessing historical data and consolidating reports in one place is critical for tracking performance, identifying areas for improvement, and making data-driven decisions to stay ahead of competitors.

The current landscape is characterized by three primary forces: Data is a competitive opportunity, Business takes control of its data, and Data's gravity is now cloud-centric. As businesses navigate these transformations, they need to adapt their data integration infrastructure to respond successfully. Agile data integration capabilities are essential for quick configuration and deployment, while adaptive data architecture enables organizations to deliver business value faster and take advantage of technology advancements. Additionally, modern data virtualization solutions support business-friendly data views, governed self-service access, and a cloud-native data integration platform that frees IT teams from operational burdens. By embracing these changes, businesses can drive competitive business value from their data and stay ahead in the market.

CData Connect Cloud Brings Data Connectivity-as-a-Service to IBM Cognos Analytics` CData has partnered with IBM to bring a cloud-based data connectivity service, CData Connect Cloud, which enables easy connection to over 150 real-time data sources within IBM's Cognos Analytics reporting dashboards. This integration aims to empower users to make informed decisions by providing seamless access to their data, regardless of the source. With CData Connect Cloud, users can query live data directly from Cognos Analytics without coding or maintenance. The partnership benefits Cognos customers who previously struggled with connecting to various data sources, and provides a robust solution for businesses looking to maximize their analytics capabilities.

To address the growing need for up-to-date information, organizations are turning to real-time data management, which connects, accesses, maintains, and disseminates live data across a business, providing teams with timely insights to drive better decisions and improve operations. Real-time data management can relieve key bottlenecks in traditional data management approaches, allowing LOB teams to work efficiently with up-to-date information, driving the business forward in real-time. This enables organizations to scale and sustain data-driven success, optimizing data storage volumes, simplifying data democratization, vetting data quality tools, fueling data governance efforts, and more. By leveraging modernized data connectivity solutions, LOB operations teams can handle their data management initiatives themselves, skipping IT involvement and extracting value from their data sources, empowering agile reporting, streamlined operations, and a competitive advantage.

The adoption of SaaS solutions has increased significantly since 2019, with organizations using an average of 130 SaaS apps, leading to data silos and challenges in standardizing integration across multiple platforms. Data governance efforts are often hindered by the lack of intuitive and flexible data connectivity solutions that enable easy access to all relevant data. To overcome these challenges, organizations can leverage tools that minimize information overload, reduce technical skill barriers to connectivity, leverage smarter queries, and pair tailored solutions for an exact fit with their specific needs. By implementing such solutions, teams can mobilize their data governance strategy more effectively and achieve real-time data connectivity.

The concept of data enablement is the process of making organizational data accessible and visible across the business, breaking down data silos and creating an environment where data can be easily collected and integrated. Data governance establishes policies and controls around data to ensure quality, security, and compliance, while data management covers a large umbrella of processes and practices for collecting, storing, organizing, and working with data. Effective data initiatives must capitalize on new opportunities while accounting for new risks, and organizations need to ensure data quality, improve data access, and empower data-driven decisions as part of their strategy. Data enablement can help enforce data governance policies, promoting accessibility and data usage, whereas data governance ensures that guardrails are in place around the data so it remains secure and governed when shared across the organization. Organizations must address concerns with legal regulations, expenses, productivity, and competitive edge by implementing data management strategies like data governance and data enablement.

Data virtualization is a technique that breaks data silos by combining data from various sources using SQL without having to copy or load the data. It acts like a database server, connecting to multiple data sources and grabbing data from them, translating SQL queries into dialects for each data source, and joining, filtering, and aggregating the data. This technology saves time and effort, allowing users to delegate tedious tasks to virtualization software and focus on analyzing data. Advanced data virtualization includes features like ETL/ELT integration methods, enabling businesses to cover a wide range of use cases. With CData Virtuality, organizations can leverage their data's full potential, providing a single source of truth platform and accelerating modern data architectures.

In an increasingly complex and unpredictable global supply chain landscape, companies are turning to technology solutions to improve collaboration and forecasting accuracy. By bridging informational silos and automating communication gaps, organizations can optimize their business processes, drive decisions with data, and survive the turbulence of supply chain disruptions. Leveraging emerging technologies such as cloud-based connectivity solutions and modern B2B integration platforms can help companies like Parts Authority and Sony streamline their supply chains, improve order fulfillment, and adapt to downstream updates from manufacturers, ultimately leading to increased sustainability, customer satisfaction, and profitability.

CData Connect Cloud now offers hundreds of cloud data sources, allowing users to easily connect and access live data from various cloud reporting, analytics, or business tools without needing code, installation, or costly ETL pipelines. This eliminates the need for a local gateway, enabling users to refresh data within the Power BI service for current and reliable information. The Microsoft-Certified CData Connect Cloud Power BI connector is a game changer, providing a more flexible and collaborative process for company-wide reporting, and allowing users to access and refresh data in Power BI from anywhere.