How AI Decision-Making is Improving Enterprise Outcomes
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Advanced Analytics and Emerging Trends(Infographic)
15 March 2023 
Sumi S 
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10 Tableau Data Dashboard Design Hacks for Clear Insights & Faster Decisions
1. Understand Your Audience
The best dashboards are built with a specific audience in mind. Consider who will be using your dashboard and what their goals are. Are they busy executives who need to quickly grasp key performance indicators (KPIs), or are they analysts who need to drill down into details? Once you know your audience, you can tailor your dashboard design to their needs.
Source: https://www.tableau.com/learn/whitepapers/10-best-practices-building-effective-dashboards?utm_medium=blog
2. Optimize Layout
In today's mobile-first world, it's important to design dashboards that look good and function well on a variety of devices. When designing your dashboard, consider how your audience will be consuming the information. If they're primarily using mobile phones, you'll need to prioritize the most important KPIs and optimize the layout for a small screen.
3. Minimize Page Load Times
No one wants to wait for a dashboard to load. Slow load times can be caused by a variety of factors, including the size of your data set and the complexity of your visualizations. To improve load times, you can optimize your data queries, use extracts, and leverage Tableau's built-in performance optimization features.
4. Insights-Based Design
When designing your dashboard layout, consider how your audience will naturally "read" the information. Group related pieces of information together and use visual cues like shading, lines, and white space to guide the eye. The most important information should be placed in the upper left corner of the dashboard, as this is where most viewers will start looking.
5. Minimize Views and Colors
It's tempting to include every relevant piece of data in your dashboard, but this can lead to information overload. Stick to two or three key views, and use color strategically to highlight important trends or patterns. Avoid using too many colors, as this can make your dashboard visually overwhelming.
6. Incorporate Interactive Features
Dashboards are most powerful when they allow users to interact with the data. Use filters, highlights, and actions to let users explore the data in different ways. This will help them to gain a deeper understanding of the information and answer their own questions.
7. Arrange by Hierarchy
When formatting your dashboard, it's best to start with the largest elements and work your way down to the smallest. This will help you to avoid accidentally overwriting your changes. The hierarchy of dashboard formatting typically follows this order: theme, workbook, and worksheet.
8. Utilize Tooltips and Whitespace for Effective Design
Tooltips are a great way to provide additional information without cluttering up your dashboard. Use tooltips to display detailed data points or to link to external resources. White space is also essential for good dashboard design. It helps to improve readability and make your dashboard less visually overwhelming.
9. Prioritize Clarity
Every element on your dashboard should serve a purpose. If a title, legend, or axis label isn't necessary, get rid of it. Consider using a floating layout to create more white space and improve readability.
10. Ensure Dashboard Effectiveness
Once you've built your dashboard, it's important to test it with your target audience. Ask them how they're using the dashboard and if it helps them answer their questions. Use their feedback to iterate on your design and create dashboards that are truly effective.
By following these best practices, you can create dashboards that are clear, concise, and actionable. Effective dashboards will help your audience understand your data and make better decisions.
How Beinex Can Assist You
Beinex, a premier Tableau partner, provides sustainable analytics solutions to organizations and helps to build superior data visual analytics capabilities internally through our bespoke training programs. Our team of Tableau-certified consultants are real-life Tableau business users who are passionate about Tableau and delivering a world-class experience. Connect with us for a Tableau free trial: www.beinex.com/free-tableau-software
Image source: https://www.tableau.com/learn/whitepapers/10-best-practices-building-effective-dashboards?utm_medium=blog
Five Ways to Overcome Data Trust Challenges (Infographics)
Top Cloud Computing Trends 2025: Driving Organizational Success
What is Cloud Computing?
Cloud computing delivers computing resources, servers, storage, databases, and applications, over the internet, replacing traditional local infrastructure. These resources can be accessed anytime, anywhere, and on any device with an internet connection, providing businesses flexibility and agility.Types of Cloud Services
1. Software as a Service (SaaS): SaaS providers host software applications and make them accessible to users via web browsers on a subscription basis. Popular examples include email services, CRM tools, and project management platforms. 2. Infrastructure as a Service (IaaS): IaaS offers virtualised computing resources like servers, storage, and networking. Businesses can build, deploy, and manage their applications on this infrastructure while maintaining control over the software. 3. Platform as a Service (PaaS): PaaS provides a platform for developers to create, test, and deploy applications without worrying about managing the underlying infrastructure. It offers more control than SaaS and requires less maintenance than IaaS.Top Cloud Computing Trends for 2025
1. Rise of the Citizen Developer The concept of the citizen developer is reshaping how applications are built. Non-technical users can now create apps using drag-and-drop tools, eliminating the need for extensive coding knowledge. Tools like Microsoft’s Power Platform and AWS’s HoneyCode are leading the way, enabling businesses to streamline workflows and innovate faster. 2. Enhanced AI and Machine Learning Capabilities Cloud providers embed advanced AI and ML features into their services, making intelligent applications accessible to businesses without requiring in-house expertise. Companies like AWS, Google, and IBM are pioneering this space. For instance: • AWS’s DeepLens camera supports machine learning integrations. • Google Lens uses AI to provide real-time information from images. • IBM continues to invest in enterprise AI solutions to revolutionise computing processes. 3. Increased Focus on Automation From enhancing team efficiency to reducing downtime, automation tools are becoming more intuitive and robust. Investments in AI and citizen developer tools further simplify automation, allowing businesses to achieve greater operational efficiency. 4. Continued Investment in Data The need for large-scale data analysis continues to grow, with a shift toward distributed computing environments powered by GPUs. This architecture allows businesses to run real-time analyses on vast datasets, revolutionising how data is processed, stored, and utilised. 5. Heightened Competition The battle between AWS, Microsoft Azure, and Google Cloud Platform is intensifying, driven by competitive pricing, enhanced reliability, and innovative offerings. Expect these giants to continuously improve cost transparency and introduce new features to capture market share. 6. Kubernetes and Docker for Cloud Deployment Kubernetes and Docker are transforming cloud application management. Automating deployment, scaling, and containerised application management enables developers to streamline workflows and quickly deploy scalable solutions. 7. Cloud Security and Resilience As more businesses migrate to the cloud, providers heavily invest in security features like encryption, access controls, and disaster recovery solutions to ensure robust data protection and operational resilience. 8. Multi and Hybrid Cloud Solutions The adoption of multi-cloud and hybrid cloud strategies is growing, allowing businesses to leverage the strengths of multiple providers while maintaining control over their data and applications. These solutions provide flexibility and minimise the risks associated with vendor lock-in. 9. Cloud Cost Optimization Managing cloud costs is a top priority for businesses. Providers are developing tools for cost monitoring, budgeting, and optimisation, helping users make the most of their investments through reserved instance options and sizing recommendations. 10. Edge Computing Edge computing minimises latency and bandwidth requirements by processing data closer to its source. This trend is crucial for real-time applications, enabling faster and more efficient data processing. 11. Disaster Recovery With the rise in natural disasters and cyberattacks, disaster recovery solutions have become a vital focus. Cloud providers offer robust solutions that enable businesses to recover operations quickly and minimise downtime. 12. Innovation and Consolidation in Cloud Gaming Cloud gaming is a booming market, with major players acquiring smaller companies to expand their portfolios. This trend is reshaping the gaming industry, offering more accessible, high-quality gaming experiences. 13. Serverless Computing Serverless computing allows developers to focus on writing code without worrying about infrastructure management. This approach reduces operational costs, increases scalability, and accelerates development cycles.Summing Up
As these trends demonstrate, cloud computing is transforming dynamically, unlocking new opportunities and redefining how businesses operate. Staying ahead of these trends will be crucial for organisations aiming to harness the full potential of the cloud in 2025 and beyond.
Why AI Safety Needs Standards: Moving Beyond Intentions in Enterprises
Enterprise AI adoption is accelerating faster than most governance frameworks can keep up. According to McKinsey’s State of AI 2025 report, 88% of organizations now use AI in at least one business function, yet only a small percentage have scaled it successfully across the enterprise. At the same time, 51% of organizations reported experiencing at least one negative AI-related consequence, including inaccuracies, compliance concerns, and explainability issues.
That gap matters. Enterprises are no longer experimenting with AI in isolated environments. AI systems are now influencing financial decisions, customer engagement, operations, and compliance workflows. In that environment, good intentions are not enough. Enterprises need measurable, repeatable, and enforceable AI governance standards.
PARAMETER ACTION + SHEET ACTION
Parameter Action + Sheet Action: Extended Tableau Interactivity
Tableau has included lots of sought-after features into its latest release, Tableau 2019.2. If you’ve been eagerly looking forward to the release of the latest Tableau version to try out the whole new Parameter Actions, well – the wait is over!
In our previous blog post about Tableau 2019.2, we had already covered some of the major features of the release. In this blog, we will be diving deep into ‘parameter action’ and the combination of Parameter Action + Sheet Action with a simple example using Sample-Superstore dataset.
What are Parameter Actions?
Parameters are constant values created by a user to perform certain functions in Tableau and can be used in calculations, reference lines and some other analytic scenarios. A parameter can be a set of strings, numbers, etc. With parameter, the user can able to select only one value at a time.
With parameter actions, users have the option to control the parameter values dynamically when clicking or hovering on certain elements on a viz. We can use parameter actions in a worksheet or a dashboard which extends the interactive ability of Tableau. This enables the users to visually change the parameter value with few interactions, which is cool. Parameter action can unleash the possibilities for designers to come up with new levels of interactivity to the dashboards.
Steps to achieve Parameter Action + Sheet Action:
1. First, create the sheets of required KPIs. We have created 4 sheets;
- Sales Trend
- Number of Customers
- Sales by Segment
- Quantity Vs. Sales
2. Create a Year calc from ‘Order Date’ field.
3. Create a parameter using ‘Year’ calculated field. (This parameter is used in Parameter Action)
4. Create a calculated field ‘Parameter Calc’ which is used to color/highlight the selected year.
5. Drag the ‘Parameter Calc’ to Color and Size in marks shelf.
6. If you apply ‘Parameter Calc’ to the created sheet, it will look something like this. The selected year in ‘Year Parameter’ will be highlighted with the color and size.
7. Now, we need a toggle to switch between years. So, we have to create a sheet like below,
(Like before, drag the ‘Parameter Calc’ to color and size in marks shelf)
8. Arrange the sheets in a dashboard. Give a header and format the texts, fonts, colors if required.
9. How to create ‘Parameter Action’
- Select Dashboard > Actions.
- In the Actions dialog box, click Add Action and then select Change Parameter.
- Select ‘Year Toggle’ as Source sheet and choose ‘Select’ in Run action on:
- Select ‘Year Parameter’ as Target Parameter.
- Now, if you select a year, the parts in the sheet corresponding to the selected year will get highlighted in color and other parts are grayed out.
10. How to create ‘Sheet Action’
- Select Dashboard > Actions.
- In the Actions dialog box, click Add Action and then select Filter.
- Select ‘Year Toggle’ as Source sheet and all the sheets in the dashboard as Target Sheets
- Choose ‘Select’ in Run action on and choose ‘Show all values’ in Clearing the selection will
Now, we have set both Parameter Action and Sheet Action for ‘Year Toggle’ sheet.
If we single click on the year, it will highlight (Parameter Action) the year throughout the dashboard and if we double click on the year, it will filter out (Sheet Action) that particular year throughout the dashboard.
Beinex is a digital transformation organization en-rooted with ideas, innovation and unparalleled customer service. Our mission is to transform the way individuals and the organizations work with the data through innovation and experience.
If you are interested in learning more about the latest Tableau parameter actions and use cases, please contact us at training@beinex.com/ info@beinex.com
and we would be happy to schedule a Tableau demo or training for you and your company.
