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In this article I want to explore how to integrate data requirements with product features and user stories; the result is some very useful traceability to where a particular data entity or attribute is being used across a product.
Understanding datamodeling and analysis is a key to a successful career in data science, AI, and machine learning. If that’s your career goal, this webinar is for you! What You’ll Learn Join Simplilearn for a data science masterclass with data science instructor Shubham Pandey. Read More.
Introducing the Sisense DataModel APIs. The new Sisense DataModel APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense DataModels using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense DataModel, exactly?”
A question was raised in a recent webinar about the role of the Data Architect and DataModelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.
Our most popular cash flow webinar in 2020 focused on the challenges companies are facing to keep abreast of their cash flow. With so many people looking for reporting solutions to improve their productivity, our most popular reporting webinar in 2020 was “Real-Time ERP Reporting in 20 Minutes.” Superpower DataModel.
Works with datasets to discover trends and insights, maintaining data accuracy. Power BI Data Engineer: Manages data pipelines, integrates data sources, and makes data available for analysis. Creates datamodels, streamlines ETL processes, and enhances Power BI performance.
WhizLabs had the honor of hosting a webinar with Brian H. His agenda of the webinar followed: Overview of AWS Databases. Brian says that he is really passionate about data and databases, and he sees “ data as the energy flowing through a home while databases are the electrical grid system.”. 4D: Data-driven Development.
DataModel APIs : Fully automate data workflows to save time and minimize risks, including the programmatic creation and modification of Sisense datamodels across deployments Embedded Playground for Developers: Discover and experiment with Sisense embedding and customization capabilities in a rich, interactive environment.
“I liked working with numbers but I knew that accounting was not really for me, so I signed up for a course in data science which ultimately inspired me to get my Master’s degree in DataModeling.” “A Following Tableau Ambassadors also helps to grow your Tableau skills.
For cloud data teams, many of which were previously Periscope Data customers, we’re thrilled to announce the availability of self-service dashboards , a flagship of the Sisense offering. Explore these and other capabilities on the release page and join our webinar on July 28th at 10:30 am Eastern Time to learn more.
Yulia discusses the importance of accurate datamodeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and datamodeling. Maybe not, but you’ll feel less pain and get better results if you do.
Its pre-configured, expandable datamodel streamlines compliance while supporting various reporting frameworks. Key features include: Effortless Data Collection & Consolidation: Pre-configured, future-proof datamodel simplifies gathering of all data types (narrative, numeric, and calculated) for CSRD compliance.
The Elastic Data Hub delivers unique and highly differentiated options for data teams to simplify complex data and power analytical apps. Sisense Forecast is an advanced AI-powered forecasting option that offers unique capabilities to derive new value from data without the need for data science expertise.
As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared datamodels in Genie. Optimize recruiting pipelines.
As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared datamodels in Genie. Optimize recruiting pipelines.
Sisense is delivering a beautiful front-end experience, powerful and flexible datamodeling, and the opportunity to integrate at a very deep level.” ” Chris Wallingford, Director of Business Intelligence, Tessitura Network.
Then you’ll likely need help from your data team, building a datamodel that acts as your single source of truth and covers all your information needs to drive your analytics. At this stage it’s important to prepare for additional questions, so make sure your datamodel allows for this. that you’ll be using.
This content is based on a webinar entitled, A Pre-flight Checklist for Moving Your CMDB Onto Jira Service Management Cloud. Click to watch the full webinar with a deeper dive into the material and software demos of both Jira Service Management and Device42.) This post outlines the vital aspects of CMDB and its migration to the cloud.
Financial and operational reporting teams may need to rely on IT personnel for report customization, datamodeling, or resolving technical issues. Register to attend our webinar , Staying on Oracle EBS? Both capabilities support Oracle EBS and OCA ERPs, or a hybrid set up of the two.
I encourage you to explore these and other capabilities on the release page , share your comments with us on our community forum and join our webinar on August 28th from 12:00 – 1:00 PM ET to learn more.
Data products provide a similar challenge. Between different datamodels, formats, and other software eccentricities, even a skilled team of data engineers and architects can struggle to make tools play nicely with one another. The post Workflow Fix: How UDAPs Heal Fractured Data Landscapes first appeared on Blog.
As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. Harmonize your customer data into a unified view by mapping data sources into shared datamodels in Data Cloud.
Datamodeling instructor hours were always the hardest ones. When it came to certain meetings, we had 1:1 or webinars that I needed to be on. But for those things we couldn’t rearrange, like kickoff meetings, recap webinar, credibility boosters, I would put those on my calendar ahead of time. I do some webinars.
It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset datamodel. This makes managing unstructured data difficult.
He has also served as host and guest Subject Matter Expert on a wide variety of webinars, Podcasts, Virtual Events, and lectured at in-person seminars and conferences around the globe. His Blog is a must read for anyone who’s interested to attend his webinars and learn about his research. He writes for Forbes and The New Stack.
I have taken other training courses and watched webinars and YouTube videos along the way, just out of interest and to enhance my skills in some areas. But I feel like this really was a beginning to end, such a valuable experience to go through and to solidify my confidence and my skills, especially in some areas that opened my eyes. .
I thought I’d be most interested in data, the datamodeling. And having that opportunity to talk with the participants via instructor hours, the webinars, with them being able to get back through the coursework and have those conversations, and then through the email. That’s not the one I thought I would.
If we wanted to query a database holding all this data instead of a graph, we would have to perform aggregation, but here we don’t because the way we build the datamodel, the aggregation is on the inside. AM: What do you think are the obstacles for organizations struggling to adopt data and analytics and how can we help them?
It conducts online webinars on business analysis topics. Some of these webinars are free for everyone. Next: Business DataModelling 9. Next: How to write data and process specifications You can go through other videos as well once you have gone through these videos. I have selected a few of them.
Requirement Multi-Tenancy A single application has the ability to share data access between multiple customers, whether data is stored in the same database and/or in individual databases per customer. Look for those that do not require data replication or advanced datamodeling. These support multi-tenancy.
Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities. It includes pre-built projects, cubes, and datamodels, as well as a suite of ready-to-run reports and dashboards. Access to All Tables and Fields.
And as the data landscape becomes increasingly more complex as technology continues to evolve, a robust reporting solution for your Oracle ERP becomes even more critical. Tune into our on-demand webinar to learn more about navigating the choice to build, buy, or partner. insightsoftwares Reporting for Oracle helps simplify the process.
A better solution is to use a tool that enables you to work with a shared, single source of truth for your planning data, model an unlimited number of scenarios quickly and easily, and work within an environment that is as familiar and flexible as Excel. As a standalone tool, Excel does come with some limitations, however.
Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common datamodels will be key enablers of a more holistic process.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.
The reason is simple, says Deloitte : “New datamodeling tools make it possible to deliver valuable tax insights about different financial scenarios—in real-time. This is beginning to change, especially in light of changes in tax regulatory regimes and the need to demonstrate transparency in tax reporting.
Unlock Rapid Data Analysis in PowerBI With Jet. If you use Power BI alone to generate reports, the complexity of the Microsoft Dynamics datamodel can be an obstacle as it requires knowledge of its proprietary DAX scripting language. Datamodels must be refreshed either manually or on a set schedule.
AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master datamodeling, and improving data governance efficiency. From Chaos to Control: Navigating Your Supply Chain With Actionable Insights Download Now Is Your Data AI-Ready?
Angles for Oracle includes access to purpose-built technology that will extract, transform, rationalize, and organize data from any Oracle ERP you run, as well as from other non-ERP sources. The result is a proprietary, multi-source datamodel for a single view of your business information. Get Instant Demo. What to expect.
It delivers a context-aware, process-rich business datamodel, with a library of business reports for Oracle EBS and OCA. Angles for Oracle does the heavy lifting in your data lakehouse to provide valuable analytics. Check out our recent webinar, Fast Track Your Oracle Cloud Data into a Data Lakehouse.
Finance teams using D365 F&SCM have expressed a strong desire for easy, seamless integration between Microsoft Excel and D365 F&SCM that goes beyond simple pivot tables and into full featured complete reporting capabilities with built-in content and datamodels. Easy, Excel-Based Reporting Built for Microsoft D365 F&SCM.
To do forecasting–financial, operational, or otherwise–out of the box, you need to create the datamodels behind the reports, then create the reports themselves. Watch our webinar to learn more about how to optimize your Oracle investment. But there isn’t a simple solution for forecasting with Oracle alone. Ready to learn more?
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