Five Ways to Overcome Data Trust Challenges (Infographics)

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Why is Data Preparation Important?
Imagine building a house on a foundation of sand. No matter how impressive the blueprints or construction materials, the structure will be unstable. The same principle applies to data analysis. Inaccurate or incomplete data leads to flawed insights and potentially disastrous business decisions.
Here's how meticulous data preparation benefits organizations:
The Data Preparation Journey: A Step-by-Step Guide
While the specific steps may vary depending on the project, a typical data preparation process involves:
- Acquiring Data: This involves identifying the necessary data, gathering it from various sources (databases, spreadsheets, etc.), and establishing secure, consistent access.
- Exploring Data: Understanding the data's structure and quality is crucial. Analysts use data profiling techniques and visual analytics to analyze data distribution, identify missing values, and uncover potential anomalies.
- Cleansing Data: This is where the magic happens – correcting errors, removing duplicates and outliers, and filling in missing data points to ensure data integrity.
- Transforming Data: Data may need formatting, restructuring, or aggregation to be suitable for the intended analysis. This could involve converting date formats, pivoting tables, or calculating new variables.
Data Preparation for the Age of Big Data and Machine Learning
The rise of Big Data and machine learning has further amplified the significance of data preparation. Machine learning algorithms rely heavily on vast amounts of clean, structured data to learn and make accurate predictions.
The Challenge: Extracting value from Big Data often involves integrating data from diverse sources, each with its own structure and quality issues. Traditional data preparation methods become time-consuming and inefficient when dealing with such massive datasets.
The Solution: Modern data preparation tools like Alteryx offer a solution.
The Power of Alteryx Data Preparation
The Alteryx Analytics Automation Platform streamlines the entire data preparation process, empowering a wide range of users – data analysts, data scientists, and even citizen data scientists – to transform raw data into actionable insights. Here's how Alteryx tackles the data preparation challenge:
Key Alteryx Features for Data Preparation:
Ready to Experience the Beinex -Alteryx Advantage?
Beinex’s premier partnership with Alteryx helps us enable business users to perform mundane tasks of manual data cleansing and transformation in just minutes by automating the process in a simple visual workflow that also covers advanced and predictive analytics. Thousands of organizations globally use Alteryx to deliver quick wins and high-impact business outcomes. Beinex's Alteryx consulting services amplify the transformative potential, providing tailored expertise to ensure maximum value extraction from Alteryx's powerful capabilities.

Search improvements in Data pane
While developing business specific dashboards, we need to create several calculations and its needs to be adjusted or new calculations needs to be created from existing calculations as per the business unit’s requirements.
With the newly added Search improvement feature, our lives are made easy by searching or filtering specific filed based on field name, type, or comments.
Search improvements in Data pane
Write to external databases in Tableau Prep
Write to external databases in Tableau Prep
The wow moment for prep is here with the introduction of the ability to output to a database. In all previous versions of Prep, we have been able to write to an extract file or csv, and now from the latest 2020.3 introduces the ability to output to a database. Currently supported databases are SQL Server, MySQL, PostgreSQL, Amazon Redshift, Snowflake, Oracle, and Teradata.
As shown in the below example, result from the flow can be saved to a data base table from the output step by choosing “Database table” option, specify your server connection (with login credentials) , choose the data base and then the table.
And now, Write to database will power the analytics journey by helping to solve the issues related to, data sources, data security and data governance
Open or Upload Workbooks On The Web within Tableau Server
Sharing your work and exploring insights from others just got easier. You can now open a Tableau workbook or upload it straight to the web without having to use Tableau Desktop. Simply select the workbook (.twb or .twbx) you want to upload and publish directly to your site on Tableau Server or Online. Only users with the appropriate publishing permissions will have the ability to upload content.
Open or Upload Workbooks On The Web within Tableau Server
Three refresh options are available, they are

- List the unused data sources: Data sources imported in a workbook but not used are highlighted by the new feature. The developer can remove these data sources from the data source list to make the workbook faster.
- List of unused fields or data columns: Just like the data sources, workbook optimizer also highlights the data columns not used across the workbook. Removing these at the data source level can help improve the overall performance of the workbook.
- List of sheets not used in the dashboard: It is a common practise that developers tend to create sheets not used in the final dashboard. This creates unnecessary clutter and makes the dashboard slower. The workbook optimiser feature gives a list of such sheets which the user can delete to optimise the performance of the workbook further.
- Highlights lengthy calculations: The feature provides a list of calculations which are too complex and in turn reduce the performance of the dashboard. Simplifying a few of these can improve performance to a great extent.
Ask Data Phrase Builder: This feature is available on Tableau Server and Tableau Online
Add field would look like as shown in the below screenshot:
Customize View Data: This feature is available on Tableau Server, Desktop and Tableau Online
This feature enables to reshape the tabular data behind your visualisation in the View data interface. One can create new columns, remove columns from the default view, change the order and sort the data using this feature. This reshaped data can also be exported as csv file to be shared with the team.
Change the root table: This feature is available on Tableau Server, Desktop and Tableau Online
Managing multiple data tables becomes easier and flexible with this new feature. One can swap any table to be the root table with a single click. This allows one to change the layout of the table quickly, reshape the data with a different root table and delete a specific table without deleting child nodes. For e.g., let us assume a user had to create a data source for an analysis using 3 tables namely ‘customers’, ‘orders’ and ‘returns’. The user creates the data model such that ‘customers’ is the root table followed by ‘orders’ and ‘returns’. But after performing some analysis the user realises that ‘orders’ should be the main root table. In such cases the user would have to re-create the data again from scratch but with the new ‘Swap with root table’ feature user can do the changes with a few clicks.
Parameter Enhancements in Tableau Prep
In version 2022.1 Tableau Prep is adding even more places where one can use parameters in the flow as well as user enhancements. Now, one can:
- Get a list of all the parameters in one place rather than finding them in the flow. One can delete these parameters directly from the parameter window rather than to find it in the flow first.
- Include parameter names in exported output files.
- Include parameters in SQL scripts that you run before or after writing the flow output to a database. Include parameters in worksheet names when writing the flow output to Microsoft Excel.
- 1. Improvements in Esri Data Connector
- 2. Addition of new Accelerators
- 3. Added connectors to connect to more data sources
Google Cloud Platform is a Google-delivered complete set of cloud computing services. The services extend to networking, storage, application development, computing, Big Data and even more, which operate on the same cloud infrastructure used internally by Google for Gmail, YouTube, and others. What makes GCP a reliable and secure cloud infrastructure to build, test and run applications is the fact that its server has not gone down in years. IT professionals, software developers and cloud administrators can access GCP services online.
Why choose the Google Cloud Platform?
In 2022, Gartner Magic Quadrant Cloud Infrastructure and Platform services named Google as a leader for the fifth time in a row. Google Cloud Platform's global network of data centres spans multiple continents, ensuring low-latency access and redundancy for your applications and data. Therefore, GCP can be the perfect choice for organisations looking for a globally renowned cloud platform known for its wide array of services and offerings. GCP's extensive catalogue of services with unique features can be attributed to the global expansion and recognition of the platform. Some of GCP's significant services include Computing, Storage, Networking, Big Data, Cloud AI, Security and Identity Management, Management Tools, and IoT.
Besides, the following aspects also add to the reasons why GCP is a viable cloud provider for businesses:
- Provides multi-level security to safeguard resources like assets and operating systems
- Has a network infrastructure comprising physical, logistical, and human-resource-related elements, like wiring, routers, switches, and firewalls
- Has proficient experts who provide support on installation and maintenance
Key Benefits of Google Cloud Platform
GCP enables customers to access computer resources located in Google's global data centres at no cost or on a pay-per-use for the services and resources used. GCP hosting plans are cost-effective compared to other platforms and offer superior features.
With features like data encryption, multi-factor authentication, and identity and access management, GCP prioritises the security of client data and applications.
Google's web-based applications provide users with complete accessibility to GCP from virtually anywhere.
GCP delivers enterprise-grade solution architectures and tech strategies to provide scalability and expedite digital transformation.
Google boasts its proprietary network infrastructure, granting users greater control over the functions of GCP. As a result, users experience seamless performance and heightened efficiency across the network.
GCP offers tools for automation, compliance and governance and a secure cloud environment to navigate challenges in cloud operations.
GCP enables organisations to harness the power of AI to automate processes, gain data-driven insights and employ machine learning for innovation.
With services like Bigtable and Cloud Storage, GCP benefits organisations in managing extensive data and facilitating real-time data processing and analysis.
Real-World Business Challenges & GCP Solutions
GCP’s suite of solutions assists organisations in tackling challenges in the dynamic business landscape effectively. Some common challenges in business and their respective GCP solutions are briefed below.
GCP equips your business with analytics tools and robust data storage to manage extensive data effectively and derive valuable insights.
With development and deployment tools like Cloud Functions and Google App Engine, GCP enables organisations to expedite development and gain a competitive edge.
GCP’s extensive global network infrastructure aids businesses by ensuring the applications reach across the world seamlessly.
With its suite of security tools for threat detection, data encryption and access and identity management, GCP safeguards data and applications with multi-level security.
In the event of unanticipated disruptions that halt business operations, GCP ensures business continuity with its backup options and disaster recovery solutions, making critical applications and data accessible.
X (formerly Twitter), eBay, PayPal, and 20th Century Fox are some of the top users who have leveraged the transformative potential of Google Cloud Platform. Being a globally recognised brand for its speed, performance, security, reliability and innovation, the Google Cloud Platform is a beacon of digital transformation for businesses navigating the challenges of the data-driven digital era. As companies venture on their journey with GCP, the prospects are endless. This partnership empowers businesses with the tools, resources, and support needed to thrive in a dynamic landscape. Whether achieving operational efficiency, reducing costs, or delivering superior customer experiences, GCP catalyses change.
What can Beinex do for you?
Beinex is now a service partner of GCP and is helping businesses advance their digital transformation endeavours by leveraging GCP’s AI capabilities, cloud infrastructure, and data analytics. Beinex offers clients expert guidance in deploying proactive solutions and using Google Cloud to make more informed data-driven decisions. This approach enables them to overcome business challenges and fosters competitiveness, efficiency, and growth. At Beinex, we deploy Google Cloud Platform as a service and the infrastructure as a service, enabling organisations to streamline access to a broader array of services and resources, resulting in cost efficiency and improved quality.

Tableau 2019.2 Release – A Deeper Dive
Tableau has released the newest version of the platform that enhances the way people visualize and interact with data. In this article we’ll go through some of the exciting new changes included in Tableau 2019.2 and how business will benefit from these newly enhanced and released features.
The major release of Tableau has on-boarded some impressive features and functionality that will have big influence in data visualization and business productivity. In this post, we will highlight some significant and exciting features that are a part of this release.
1. Upscale your Viz with Vector Maps:
Vector Maps enhances your mapping experience by rendering a crisp output as you pan, zoom in, and zoom out to explore your geospatial data. This new feature also leverages the census data from American Community Survey (ACS) to incorporate demographics data into your dashboard.
Highlights:
Usability:
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Above recording is a view of the new map styles that is a part of the Tableau 2019.2 release. Here you can see how simple it is to include and switch between the newly added map layers. The maps have become crisper while zooming and panning.
2. Enable Interactivity with Parameter Actions
Improved parameter actions is another powerful feature that powers up interactivity in your dashboards and help your viewers gain deeper insights into the trends. It unlocks the ability of a viewer to visually change a parameter’s value thereby offering you endless possibilities to create a truly interactive dashboard.
Highlights:
Usability:
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With this feature the end users can dynamically view the parameter values. In the above example, we have created a parameter ‘order date’ and placed Day of order date and sales into the view and we have added reference line for sales. When applied in a parameter action, the values get changed dynamically.
3. Left Nav, Favorites, and Recent for Enhanced Navigation
Navigate seamlessly and find the content you are searching with the improved navigation. The new navigation features will intensify the already powerful content browsing experience. You can easily find your favorite and recent content including projects and prep flow at the top.
Highlights:
Usability:
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4. Talk to your data with AskData
AskData is a fairly new module and growing quickly in popularity with the 2019.1 release. Tableau is continuing to expand on this by adding streamlined and innovative capabilities to AskData. You now have the option to add calculations on the fly without having to build them into the data source. You can also ask more sophisticated questions and get answers with the enhanced AskData.
Highlights:
Usability:
In the above example, you can experience the power of the natural language processing engine built into the latest version of ask data. When we ask ‘How are my sales doing by numbers?’, the system automatically understands our query and displays the sum of sales by segment. We can further segment it by year by asking further questions or adjust the values according to our requirements.
These are only a few of the many exciting updates Tableau has incorporated to continue pushing the boundaries of data analytics and prepare for the future market changes. A complete list of updates and features could be found in Tableau’s release notes: https://www.tableau.com/products/all-features
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 2019.2 features and updates, 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.