Tableau Industrial Transformation Series

Changing the way you think about data in Industrial Sector

The Tableau’s Industrial Transformation Series of topics will help you understand how modern Cloud Solutions are changing the landscape in BI and Analytics.

In essence, Tableau is focused on two things:  First, helping people see data, Second, helping people understand the data.

Additionally, organizations everywhere, from non-profits to global enterprises, and across all industries and departments, are empowering their people with data.

With Tableau, they are finding opportunities in their business that they have never seen before.

To summarize, learn more about how organizations like yours are using our platform to drive their business forward.

 

The Challenges of Self-Service Data Prep in an Evolving Landscape

Today, self-service analytics and data-driven decision-making are the norms in leading organizations worldwide.

Data preparation has historically been an IT function. Few had the ability to prep and bring new data sources into the organization’s centralized data warehouse.

Rather, the landscape has evolved: the volume and variety of data organizations collect have exploded.

In the first place, data is not always centralized but often flows through pipelines where use cases determine its ingestion, storage, transformation, and distribution.

Whereas analytics platforms are increasingly available to broader audiences to inform decision-making.

In conclusion, discover this new landscape in the white paper included in the Industrial Transformation Series.

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The Evolution of Data Storytelling

Things have improved drastically in the last decade with the arrival of interactive data discovery capabilities and dynamic visualizations.

These tools meet the demands of business people seeking greater control over their analysis and better access to consumable content. All users, regardless of skillset, have become empowered to ask and answer their own questions and limit their reliance on IT.

The best part? Data storytelling now contains, well, an actual story. Anyone can share insights by creating storyboards that provide further context to the insights contained in the charts and graphs.

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5 Steps to Prevent & Detect Fraud Using Data Analytics

The sophistication and complexity of fraud schemes continue to grow and outclass conventional anti-fraud measures.

But where do you begin?

Global data volumes continue to grow exponentially and this data can be harnessed to quickly identify unusual patterns or red flags. Historically, this was not possible through traditional auditing techniques or sampling alone.

Management and audit teams need a more powerful analytics platform to identify fraud patterns that may have previously gone undetected.

Here is a five-step plan that will help you deploy data analytics as part of your anti-fraud program.

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Free Trial - Tableau Desktop: Visual Analytics for Everyone

Data is everywhere. But most of us struggle to make sense of it.

Tableau Software lets anyone visualize data and then share it on the web, no programming needed. It’s wicked-fast, easy analytics.

In other words, anyone can analyze data with intuitive drag & drop products. And it’s 10-100x faster than existing business intelligence solutions.

Start your free 14-day trial to get:

Faster, easier data connections and discovery
Interactive reporting dashboards
Ease of use that gives you chills

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Tableau Total Cost of Ownership

Find out the new report that was authored by Bill Kirwin, Founder and President of International Institute of IT Economics.

Bill is acknowledged as the creator of IT Total Cost of Ownership methodology and corresponding models.

As as result, the report offers best-practice recommendations for accurately assessing the total cost of ownership and value of business intelligence solutions. These recommendations include two main sections.

A. Infrastructure, software, data, and labor costs: comprehensively evaluate costs including FTE or vendor resources and end user training

B. Net Business Value: assess the value created by end users less the cost of the effort employed to create the value

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2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Modern analytics and BI platforms are now mainstream purchases for which key differentiators are augmented analytics and support for Mode 1 reporting in a single platform.

Furthermore, the Industrial Transformation Series follows this Magic Quadrant to help data and analytics leaders complement their existing solutions or move to an entirely new vendor.

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2019 Top 10 BI Trends

The pace and evolution of Business Intelligence solutions mean what’s working now may need refining tomorrow.

Simultaneously, as leaders plan for the future, they’re assessing emerging trends and technologies that will shape the business intelligence industry and create new opportunities.

Based on our interviews with experts in the field, here are our collective predictions for the top 10 trends to watch in 2019 and beyond included in Tableau Industrial Transformation Series.

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6 Best Practices for Creating Effective Dashboards

Well-planned dashboards can align your organization’s efforts, speed up decision-making, track performance outcomes, and increase ROI.

Yet too often mistakes are made in the actual creation of dashboards—many times at the expense of efficiency, accuracy and hours of lost time.

In short, for improved dashboards, start by considering the following six best practices; equally important, keep an eye out for a bonus section with five critical mistakes you don’t want to make.

More information in Tableau Industrial Transformation Series explained in this white paper how to develop better dashboards.

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