How Tableau Can Drive Data-Driven Analysis

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Despite the increasing value of data in enterprise decision-making, the percentage of firms that describe themselves as “data-driven” decreases year over year.

The disconnect? Effective analysis that leads to actionable results. No matter how much data an organization has — and how potentially valuable it may be — this resource can’t deliver consistent benefits unless it is accessible during the decision-making process.

Companies must prioritize data-first initiatives and architectures to maximize ROI. The right tools for the job are also critical — and as companies look to cultivate effective analytical approaches and execute data-driven initiatives, one solution stands head-and-shoulders above the rest: Tableau.

Seeing Is Believing

Context remains a critical challenge for enterprises looking to improve data management at scale. While individual and aggregated datasets may offer a significant strategic advantage, this is only possible if C-suite decision-makers can parse and prioritize key trends.

Tableau makes this possible with advanced visualization capabilities, empowering organizations to easily convert unstructured data into attractive visual representations that provide immediate context. Using customizable frameworks and dashboards, teams can quickly consolidate key data and create functional, interactive visual outputs. This common-sense approach is backed by scientific studies that have confirmed the critical role of visual explanations in improved learning and retention.

Keeping It Simple

Complexity is also a concern for companies when striving to forge data-driven strategies. With data volume, variety and velocity increase exponentially, causing seemingly straightforward analysis to become complex and convoluted quickly.

As a result, businesses need visualization tools that shorten the distance between data acquisition and analysis and simplify the process of converting disparate data sources into a single source of truth. Tableau makes this possible with an easy-to-use, intuitive interface — data is easily adjusted and arranged using drag-and-drop functionality, allowing even non-technical staff to discover data patterns or build data trends.

Worth noting: Tableau’s technology also runs deep; intensive training courses can help teams make the best use of the solution’s robust business intelligence and data visualization value.

Managing Multiple Sources

Tableau expands organizations’ ability to discover “big picture” data trends by connecting multiple data sources from Azure, Google, SAP, Splunk, and Oracle, to name a few.

The ability to capture, connect, interpret and visualize data is especially critical as companies face an influx of unstructured information such as consumer sentiment surveys and customer service interactions — valuable data that doesn’t follow the standardized format of spreadsheets or formulas. By connecting disparate data sets at scale to create a comprehensive visual representation, enterprises can take focused actions that best capitalize on current conditions and those most likely to develop in the future.

Delivering the Data Advantage

Data offers unprecedented value for enterprise decision-making — if organizations can effectively collect, interpret and apply this resource at scale. Tableau helps make this possible with streamlined data visualizations, intuitive user interfaces and operations, and disparate data source connections to identify key trends.

Put simply? When it comes to a big data value, what you see is what you get — and Tableau empowers teams to focus on what matters most.

Author Bio:  Anne Fernandez – Anne joined Accelebrate in January 2010 to manage trainers, write content for the website, implement SEO, and manage Accelebrate’s digital marking initiatives. In addition, she helps to recruit trainers and works on various projects to promote the business. 

How Tableau Can Drive Data-Driven Analysis

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