Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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CampaignTrackly enables marketers to create a centralized, consistent, and standardized campaign URL tracking process putting an end to missing or inaccurate advertising data and ineffective marketing decisions.
Its powerful automation and integration tools simplify the process of creating and managing campaign URLs, and empowers marketers to take control of their campaign data while saving a ton of time.
The platform offers over 65 automation features that translate into a seamless, user-friendly and easy to adopt tool. It reduces tech overload, eliminates interruptions and allows campaign URL producers to create UTM links without leaving their favorite apps - Excel, Google sheets, an ESP (Mailchimp, HubSpot, Marketo, etc.)
Integrating with key marketing platforms, including SalesForce and WorkFront, CampaignTrackly offers completely automated campaign URL workflows, eliminating manual work and errors.
Customers use CampaignTrackly to automate, and standardize their campaign URLs, generating reliable insights that lead to effective marketing decisions and higher ROI.
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Code-Cube.io is a comprehensive marketing observability solution that ensures the accuracy and reliability of tracking data across digital platforms. It continuously monitors tags, dataLayers, and conversion events to detect issues the moment they occur. By providing real-time alerts, the platform allows teams to quickly respond to tracking failures before they affect campaign performance or reporting accuracy. Its automated auditing capabilities remove the need for time-consuming manual QA processes, saving valuable resources. With features like Tag Monitor, users can oversee tag behavior across both client-side and server-side environments with full transparency. DataLayer Guard further strengthens data integrity by validating events, parameters, and values in real time. The platform helps businesses avoid wasted ad spend caused by incorrect or incomplete data signals. It also supports multi-domain tracking, ensuring consistency across complex digital ecosystems. Code-Cube.io is trusted by global brands to maintain high-quality marketing data at scale. Ultimately, it enables organizations to optimize performance and make confident, data-driven decisions.
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IBM Cognos Analytics
Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.
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