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By Shamima Sultana on June 19, 2025 in Data Science Image by Editor | Midjourney While Python-based tools like Streamlit are popular for creating data dashboards, Excel remains one of the most accessible and powerful platforms for building interactive data visualizations. We will demonstrate using a simple e-commerce sales dataset.
This article explores 20 diverse Power BI dashboard examples, showcasing how data can be transformed into actionable insights. From sales and marketing to HR and social media, these dashboards offer inspiration for your data visualization projects.
Every data scientist has been there: downsampling a dataset because it won’t fit into memory or hacking together a way to let a business user interact with a machine learning model. You can develop interactively from a notebook directly within BigQuery, letting you focus on model development, while BigQuery handles the infrastructure.
This article reflects some of what Ive learned. They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. And guess what?
In this article, we tried to find out the answer to this question and analyze the timeline to see whether it is too early to do this or too late. You can see the article titles too often, “ will LLMs replace data analysts? ”. Data Analytics Agents The agents went one step further than traditional LLM interaction. value_counts().head(15)
It doesnt take much to do so: ax.plot(years, sales, color=#2ecc71, linewidth=2.5) Annotate when appropriate: ax.annotate(Record Sales in 2020!, plot(years, sales, color=blue) axes[1].scatter(years, scatter(years, sales, color=red) plt.tight_layout() The last line prevents overlapping.
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on June 25, 2025 in Artificial Intelligence Image by Author | Ideogram Trust me, this isn’t one of those clickbait articles with shady affiliate links or forced product placements. For context, I have generated the feature image of this article using Ideogram.ai.
It is the kind of shift that favors people who already know how software, data, and networks interact. This article explores how to turn career experience— whether as an IT auditor or a software engineer— into credentials for the CIS workforce. Accept X By using this site, you agree to the Privacy Policy and Terms of Use.
Nexidia Advances Customer Interaction Analytics The Problem That Has No Name Great Examples of US Government BI Transparency For example, fleet managers can analyze driver behavior to identify inefficient habits such as harsh braking, speeding, or excessive idling. Accept X By using this site, you agree to the Privacy Policy and Terms of Use.
Step 1: Preparing and Exporting Excel Spreadsheets Lets consider a quarterly business report with data on sales, expenses, profit, and customer satisfaction scores across different regions and product categories. As you interact with the tool, it suggests new prompts, guiding you toward deeper insights.
As artificial intelligence (AI) becomes deeply embedded in modern business — powering everything from customer service interactions to strategic decision-making — the need for clear, actionable policy is urgent. This article is published as part of the Foundry Expert Contributor Network. It’s a risk exposure. Want to join?
This not only provides quick responses to customers but also frees up human bank staff to focus on complex, high-value interactions. Insurance In the insurance sector, agentic AI solutions are transforming how insurers assess risk, process claims and interact with customers. Predictive A prime use case is in claims processing.
For forward-thinking organizations, the real opportunity lies in the data: every virtual interaction, transaction, and experience generates insights that can drive measurable business results. It will also produce more virtual data for metaverse analytics, such as tracking dwell time, product interactions, and follow-up purchases.
In this article, I will take you through how to build a basic dashboard using Google Sheets. # To get started, we’ll be using a flower sales dummy dataset. Then go to the setup tab, define the data range, the OrderTotal column to display total sales. Why Consider a Dashboard for Your Google Sheets? Add a prefix or suffix.
Tools like Thunderbit are leading the way here, making it possible for non-technical users (like sales teams, marketers, or real estate analysts) to scrape clean, structured data in just a couple of clicks. AI web scrapers, on the other hand, can mimic human browsing, interact with dynamic elements, and adapt to layout changes on the fly.
Salesforce Agentforce leverages AI across its ecosystem: In service cloud, it provides intelligent routing of customer service cases and predictive analytics for agent performance, optimizing customer interactions and service delivery. This article is published as part of the Foundry Expert Contributor Network. Want to join?
In sales forecasting, AI can identify nuanced patterns and create predictive models that far exceed traditional methods. IoT as a foundational layer For industries that depend on physical assets and real-world interactions, IoT is emerging as a crucial architectural pillar. Want to join?
Imagine being the Head of Sales Operations and missing a weekly target. As a result, the sales ops team spent two years manually reconciling CRM and invoice data, a significant operational inefficiency. Similar First, it can shield them from immediate scrutiny. More importantly, the CAIO can enforce unbiased, outcome-driven analytics.
You can study previous interactions, style preferences, and purchase histories to recommend ideas that are more likely to convert into sales. It is the difference between a pretty design and a sale. Keep reading to learn more. Woodworking Network shared a study that found 85.4%
Its processing of vast datasets enables supply chain precision, life-saving diagnostics and hyper-personalized consumer interactions, fostering scalability and innovation. Recommendation engines personalize shopping experiences, boosting sales. This article was made possible by our partnership with the IASA Chief Architect Forum.
These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. Descriptive analytics: Where most organizations begin and linger Descriptive analytics answers the question: What happened?
You can reduce waste by adjusting inventory in real time based on regional sales. By sharing sales data and market insights, retailers and manufacturers can avoid overproduction or stockouts. AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales! Better forecasting is another key benefit.
Today, younger executives treat technology as the very fabric of their social and professional lives, seamlessly weaving it into every customer interaction and operational process. In a retail rollout I led, I agreed with finance to measure same-store sales lift and with operations to track uptime improvement. Want to join?
You’re that plus an AI companylet’s call this an AI as Well company (AIAW)granting you a license to tell sales prospects and investors that you’re doing AI. Are you permitted to operate that model in every jurisdiction where it interacts with your end users? Yes, you’re still a retail company.
GenAI investments span a spectrum of use case opportunities that include but are not limited to human resources, procurement, finance, customer service, sales, marketing, corporate and supply chain. Github Copilot), sales and marketing (Salesforce), R&D and finance (SAP). What differentiated the work?
Register now Home Insights Artificial Intelligence Article Meeting Customer Expectation in a World of Instant Gratification: The Rise of AI-Native Customer Experience Today’s customers operate in a world shaped by instant gratification. Register now Join us at Possible 2025.
Indeed, leading IT execs are making bold moves, seizing on artificial intelligence, blockchain, data, and analytics to remake back-end processes, personalize customer interactions, and drive efficiencies. As we navigated the transition to Microsoft Dynamics 365, we knew that our sales team shouldn’t have to slow down.
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?
If the work of a human’s mind can be somehow represented, interactive data visualization is the closest form of such representation right before pure art. So, what is Interactive data visualization and how are they driven by modern interactive data visualization tools? What is interactive data visualization software?
The sales profession is one of the areas most affected by data. There are many ways that big data is helping companies improve sales. One of the biggest benefits is that it can help automate many aspects of the sales process. Big Data is Helping Improve Sales Processes Via Automation. Companies spent $2.8
In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. And business report templates are the best help for that. Business Report Examples And Templates.
The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. You can’t expect all users to remember what were the results for last year’s sales, or last quarter’s retention rate.
Be it in marketing, or in sales, finance or for executives, reports are essential to assess your activity and evaluate the results. Below, in the article, we’ve gathered some of the marketing reports templates that can easily be used to perfect the efficiency of generating data and reduce the time needed to create it.
In the recent years, dashboards have been used and implemented by many different industries, from healthcare, HR, marketing, sales, logistics, or IT, all of which have experienced the importance of dashboard implementation as a way to reduce cost and increase the productiveness of their respected business. Have no fear! click to enlarge**.
We will discuss marketing, retail, human resources, sales, logistics, IT project management, and customer service examples that can grow the operational efficiency and decrease costs. Below in the article, you can find a holistic overview of different kinds of KPIs that are used in standard marketing practice. Retail: Sales by Region.
Finally, we will show you a real-life example so you can get a visual overview and a clearer picture of the points discussed in this article. Professional CRM reporting technologies are interactive, customizable, and offer a wealth of potential when it comes to telling an effective story with your data. Sales Activity.
Ad hoc data analysis offers an interactive reporting experience, empowering end-users to make modifications or additions in real-time. The intuitive nature helps users to create interactive visuals without the need to wait for a professional analyst or, as mentioned, the IT department.
As a CEO, you’re responsible for overseeing every aspect of your business, from the people and the internal culture all the way through to key sales, marketing, and financial strategies. Management, marketing, finance & sales in one. KPIs used: Sales Target & Growth. Let’s get started. What Is A CEO Dashboard?
While traditional reports often include a summary, body, and conclusion in a written format, this post will focus on interactive monthly reports created with a professional dashboard creator. This monthly progress report template focuses on 4 main areas for any CFO: costs, sales goals, gross profit, and net promoter scores.
A host of business intelligence concepts are executed through intuitive, interactive tools and dashboards – a centralized space that provides the ability to drill down into your data with ease. However, for the purpose of this article, we will explain the 4 basic components within business intelligence: The data itself (raw data).
The metrics can be utilized in the inventory accuracy and turnover metrics, to the inventory-to-sales ratio. Days Sales Outstanding (DSO). The days sales outstanding (DSO) KPI measures how swiftly you are able to collect or generate revenue from your customers. Supply Chain Costs vs. Sales.
Moreover, you have the possibility to use online data visualization and with that in mind, each SQL metrics dashboard can be created and delivered with interactivity levels that traditional tools such as Excel simply cannot provide. Chart Interactivity With The Zoom Option. Date`, ‘%b %Y’)) as Date, COUNT(`Sales`.`SalesID`)
This is possible thanks to the user-friendly approach of modern online data analysis tools that allow an average user, without the need for any technical knowledge, to use data in the shape of interactive graphs and charts in their decisions making process. There you can see a detailed breakdown of sales by country. c) Pie charts.
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