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Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?
Lux is a Jupyter library integrated with an interactive widget that automates the generation of data visualizations from inside a notebook. Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Installation and Configuration.
As we have already talked about in our previous blog post on sales reports for daily, weekly or monthly reporting, you need to figure out a couple of things when launching and executing a marketing campaign: are your efforts paying off? 1) Blog Traffic And Blog Leads Report. 1) Marketing CMO report. click to enlarge**.
Want to make an interactive dashboard in Microsoft Excel? Interactive (a.k.a. They’ll look something like this: Interactive dashboards are easy to create — sort of. Step 1: Build the Clean, Contiguous Dataset From previous blog posts , you know that table is a tricky term. This step is optional.
Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. It is time to save valuable staff resources and walk away from static spreadsheets by using interactive dashboards. The right tool will benefit teams across an organization.
BP modeling and analysis shows process flows, system interactions and organizational hierarchies to identity areas for improvement as well as practices susceptible to the greatest security, compliance or other risks so controls and audits can be implemented to mitigate exposures. Interfaces are how applications talk to each other.
The combination of a powerful storage repository and a powerful BI and analytics platform enables such analysts to transform live Big Data from cloud data warehouses into interactive dashboards in minutes. Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.).
As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations. Figure 1: Rill and Cloudera Architecture. Deploying metrics shouldn’t be so hard.
Regardless of how easy your BI platform may or may not be to use, these builders will smooth the way to valuable insights and make it simpler and more effective for business users to interact with data. Once you’ve asked the crazy questions, empower your business users to slice and dice the data. Don’t leave it to the data team.
The information can be sliced and diced using analytical dashboards and interactively explored navigating through the knowledge graph. The solution also provides provenance for each extracted fact and traces it back to the source document.
Web Analytics – With access to web analytics, your team members can leverage the business intelligence portal to slice and dice, drill down, drill through and view and share comprehensive reports, so every team member has the detailed reporting they will need to solve problems and to improve results.
Reports are interactive and allow team members to slice and dice data across modules by vendor, product, service, cost, sales person, location, customer, inventory, costs, etc. The list is endless and the tools provided allow users to drill down to the ledger and transaction level to better understand what is happening.
You also need visibility into prediction requests and the ability to slice and dice prediction data over time to have a complete understanding of the internal state of your AI/ML system. Users can slice and dice drift information by choosing different features to investigate drift.
Various interactive reports with drill-down to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs, etc. Ideal for accountants for statutory submission purposes, and to review balance sheet statement, trial balances, profit and loss statements and more.
Various interactive reports with drill-down to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs, etc. Ideal for accountants for statutory submission purposes, and to review balance sheet statement, trial balances, profit and loss statements and more.
After that, says Vincent, Measuremen invites the client to a key insight meeting, “where we show the data … in an interactive session.” When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” and “What do we want it for?” What improvements would they recommend?
I was prompted to write this blog post by a recent article titled “Data visualization in mixed reality can unlock big data’s potential,” by Amir Bozorgzahed. So, it’s not so much that immersive data visualization unlocks big data but, rather, that it allows us to interact with big data in a way that is natural for us.
Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities.
Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Users should have access to stunning visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards. Key Performance Indicators (KPIs).
A slightly different angle to the same problem is discussed in a recent Ontotext blog post. This will allow us to perform quicker slicing and dicing and to get richer results in less time. It also needs LLM and vector database integration to properly interact with various AI tools and models.
If you are a content site, this means the ability to slice and dice your data by author names, content type, subscribers and free-loaders, commentators and non-commentators, and so much more to bring a new layer of insights. Go to Acquisition > Social > Conversions > Assisted vs. Last Interaction Analysis tab.
We’re not going to engage in this debate but in this blog post we do focus on science. These quasi-explanations usually involve large, real effects and interactions so complex that arguments based on them are often non-falsifiable. We sliced and diced the experimental data in many many ways.
The information can be sliced and diced using analytical dashboards and interactively explored navigating through the knowledge graph. The solution also provides provenance for each extracted fact and traces it back to the source document.
This beautiful daily, weekly, monthly blog post I was drafting in my head to share my excitement with you about thinking analysis differently went poof. Or, the foundation of my analysis for this blog can be this: A much richer understanding about the eight things I'm solving for. Everything came to a screeching halt.
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