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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. This blog gives a quick setup guide and a project and environment within the Domino Data Lab platform to try it out for yourself. 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. click to enlarge**.
They also can slice and dice their models in multiple other ways, such as by functional hierarchies to understand what business groups organize or participate in processes as a step in driving better collaboration or greater efficiencies.
In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. The multidimensional approach to data storage allows you to quickly create ad hoc reports, for example by slicing the cube. The sophisticated technology behind modern EPM solutions is still a mystery to many. Background and Overview.
Often, to find those types of insights, you slice, dice, and filter. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Every company is becoming a data company; there’s no getting around it.
With self-service dashboards, citizen data analysts can build live data models and dashboards without code, and business teams can use dashboards to slice, dice, and drill into anywhere to answer questions autonomously. Today’s organizations are more data-driven than ever. Additional capabilities.
More and more business people want the access to that data to slice and dice as they have business ideas and assumptions that they want to explore. appeared first on Cloudera Blog. More and more I hear about the lines of business people seeking additional intelligence and access to the data.
Safety Analytics & Innovation Manager Shaul Shalev said, “We collect hundreds of gigs of data … but unless you have a clear method of slicing and dicing that data and presenting it to users, it’s not really useful. Simple datasets just won’t cut it anymore. How does it work in real life?
Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data. The post Common Business Intelligence Challenges Facing Entrepreneurs appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.
You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! " Recently I had the opportunity to cover the IABI in a significant amount of detail in my blog post on creating strategic dashboards. You need to drill! And that's the complete picture! Not all that complicated right?
They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. The post Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.
We collect hundreds of gigs of data, but unless you have a clear method of slicing and dicing that data and presenting [those findings] to whoever the user is, it’s not really useful.”. Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time.
Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis.
Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.). We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. In a world of proliferating data, every company is becoming a data company.
Organizations and specifically the C-suite are demanding to see risk profiles at different slices and dices of a particular process. erwin Evolve. GRC is more critical than ever. But this is impossible without automation.
Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations. The post Simplify Metrics on Apache Druid With Rill Data and Cloudera appeared first on Cloudera Blog. Native streaming ingestion support from Kafka and Kinesis. Low latency (real-time) data ingestion and querying. Top-N queries.
Step 1: Build the Clean, Contiguous Dataset From previous blog posts , you know that table is a tricky term. You can learn more about contiguous datasets and why they’re necessary for dataviz in this blog post. You can learn more about the pros and cons of each approach in this blog post. This step is optional.
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.
Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.
Currently, data-driven decision making is based on the business users’ ability to successfully filter, slice, and dice known KPIs they want to track and improve upon. We look forward to sharing even more advancements and progress on our merger with Periscope Data during the next quarterly product blog release. AI Exploration.
He did not think people would consume BI dashboards and perform slice-and-dice or complex drill-down functions on their phones. Santi said he envisioned a future where “Bite-size chunks” of critical BI data would be delivered real-time to people’s mobile devices.
Once you’ve asked the crazy questions, empower your business users to slice and dice the data. Ask any business leader worth their salt if their business is data-driven and they’ll say “Of course we are.” Any other response would soon see them out of a job. But how data-driven are they really? Don’t leave it to the data team.
In this blog, we share some ideas of how to best use data to manage sales pipelines and have access to the fundamental data models that enable this process. Nowadays, sales is both science and art. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals.
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.
A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Improved visibility into insights will enable you to get more out of them.
But your users should also have the ability to dive in for complex analytics, and use the augmented analytics solution in the office with a business intelligence (BI) portal that allows for slice and dice, drill down, drill through and comprehensive reporting and data sharing for in-depth reporting and collaborative features.
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.
With the right information at hand, they can avoid missteps and work with the details they need to slice and dice, report and collaborate and to make the right decisions at the right time. ‘If
A full-scale web solution allows you detailed business intelligence capabilities so you can slice and dice, drill through data and discover the root cause of problems, and provide comprehensive reporting in various pre-built reporting formats without having to design your own reports or ask IT to do so.
With the ability to separate storage from compute, smg360 will be able to support highly skilled power users and offer them the ability to infinitely slice and dice their data as needed. . The post Migration Supporting Real-Time Analytics for Customer Experience Management appeared first on Cloudera Blog.
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 need access to data, the ability to analyze (slice, dice, drill-up, drill-down, drill-around) interesting data points that your performance throws up, ability to understand what caused the performance (often by understanding who did, what and where in other parts of the organization), and the power to make decisions.
Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands. When you’re creating the AWS Glue crawler, create a new database named rs-dimension-blog. For instructions, refer to Create an IAM role for Amazon Redshift.
Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. The post How Newcomp Analytics partners with IBM to advance clients’ supply chain insights appeared first on Journey to AI Blog.
It’s crucial “to be able to slice and dice and go into that detail as you go along because not only do you want to provide information on a holistic view or a high level, but you want to be able to dive deeper.”. and “What do we want it for?” According to Vincent, there’s important work to do with the data after it’s collected.
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. We can see and make sense of the data more effectively using 2-D or, on rare occasions, 3-D displays projected onto a flat plane (e.g., a screen) without donning a VR headset.
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.
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.
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 covers close to a thousand organizations and over 80% of the people agree that complexity is an issue. So, they become very data-driven.
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. Hopefully one day the GA team will choose to only have one version of the truth (the real one of course!).
" In service of analysis the job includes: Pulling data, segmentation, slicing and dicing, drilling-up, drilling-down, drilling-around, modeling, creating unique datasets, answering business questions, writing requirements for data sources and structures for Reporting Squirrels to work with IT teams to create, etc.
This data can be sliced and diced to align to the needs of multiple reporting frameworks as required. Learn how the IBM Envizi ESG Suite can help you Read IBM’s guide to ESG reporting frameworks The post The Indian Business Responsibility and Sustainability Report (BRSR) explained appeared first on IBM Blog.
We’re not going to engage in this debate but in this blog post we do focus on science. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.
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