Blog
How AI Decision-Making is Improving Enterprise Outcomes

ALTERYX RELEASES 2018.3

date 23 September 2019
user Team Beinex
Visualytics at every step The Interactive Chart tool replaces the existing Charting tool, which has been deprecated. Now, the interactive charting tool instantly creates and customizes popular chart types and output in both static and interactive formats. The Insight Tool brings your insights to life through interactive dashboards you can share across your organization via the Alteryx Gallery to gain deeper insights into your data. You can create and arrange multiple charts and text elements on the dashboard, create filters for viewing specific data, and create drilldowns to let you change the detail level of data displayed. Deliver answers faster Caching feature in Alteryx Designer allows for a workflow process to be stopped and then restarted from the caching point without starting over which can drastically reduce processing time. Alteryx Server becomes more enterprise-friendly with job prioritization and worker node assignment that enables admins and users to prioritize the most critical jobs to the top of the queue. Alteryx Connect gets smarter by recommending related assets to help you discover other available analytic assets to use in your analysis. Next level analytics The new Python tool with Jupyter Notebook integration is an embedded IDE that allows you to run Python code directly in Alteryx Designer. Adding the big data capabilities – Apache Spark Code tool support – Spark Direct for Databricks on Azure and HDInsight – which allows you to quickly leverage the power of Spark right within a workflow. We encourage you to experience the new capabilities in Alteryx Analytic 2018.3 during our live webinar on September 18th
Alteryx is committed to finding the best solutions and generating the insights. Last year, Alteryx took the first step to interactive behavior by introducing the data profiling feature, this version provides interactive visualizations across the Alteryx platform.

Related Articles

img
TABLEAU 2020.3 NEW FEATURES – TOP PICKS
I’ve always been a huge Tableau fan as they never fail to impress me by bringing out new exciting features in every release. Tableau has yet again released a new version after a thorough research based on people’s experience, thoughts, and comments. As a result, Tableau 2020.3 has an exciting feature with respect to Predictive modelling functions, especially useful to advanced analytics geeks. There are so many other new features which everyone will appreciate – such as IN operator for calculations, Search improvements in data pane, Data quality warnings on Tableau Server and many more! Here are my top picks from the list. The IN Operator The much-awaited feature for the SQL lovers. The IN operator is a shorthand replacement for multiple OR functions. By using IN operator, we will be able to create concise calculation fields instead of never-ending lines of ‘OR’. Let’s look into a simple use case by assuming that I am interested to know the sales value of ‘Apple Products’ compared to all other products, then I can use IN operator to with IF statement to group the products to “Apple Product” and “Other Products” IF [Product Name] IN (‘Apple iPhone 5′,’Apple iPhone 5C’,’Apple iPhone 5S’) THEN “Apple Products” ELSE “Other Products” END Predictive Modelling Function Now the predictive genes would be happy to see more features on the prediction module of Tableau. With the added advantages of the functions MODEL_QUANTILE and MODEL_PERCENTILE, now the prediction function goes beyond the existing trendline analysis. Both the functions will help to build a model that understands how your data is distributed around a best-fit line. MODEL_QUANTILE is a table calculation that returns a target value at a specified percentile, based on other predictors MODEL_PERCENTILE is a table calculation that returns the probability of the expected value being less than or equal to the observed mark, based on other predictors 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
Create table- if the table is an already existing one, it will be deleted
Append to Table –Without impacting the existing records, data will be added as new records
Replace Data – This selection will Replaces data in the existing table.
Earlier prep was used mainly for
Preparing data so that it can be used in extract refresh of exiting tableau dashboards
Generic data preparations and export to csv
Set Data Quality Warnings on Tableau Server Data quality warnings make it possible to let users know when a data asset is flagged, whether because the data is under maintenance, it’s stale, or some other reason. With high visibility data quality warnings, not only let users know about the issue but make sure they do not miss it. Are you interested in learning more about Tableau’s new features or the features? Are you a Tableau user and would like to become a Tableau Champion? If the answer to the above questions is a big “YES”, 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.
img
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.

img
Cloud Sovereignty as a Strategic Concern: Addressing from an Enterprise POV

The concept of a sovereign cloud is not novel at all. Due to shifts in the geopolitical landscape and new legislations that have affected data control, it has recently become a hot topic. In a sense, the sovereign cloud offers a clever answer to a global conflict over digital sovereignty. Let’s delve a little further into it

The need for cloud sovereignty has, in turn, initiated the idea of digital sovereignty. This is all about data: who controls it, where it resides, and where it flows to. These inquiries are crucial in the modern data economy, where data is the new currency. Cloud services inevitably receive attention. They serve as the data economy's driving force.

The rules set for data sovereignty have been in place for several years in many nations, and new privacy laws like the General Data Protection Regulation (GDPR) emphasise their importance. For instance, countries like Russia, China, Germany, France, Indonesia, and Vietnam demand that citizen data be kept on servers within the country. The justification is that protecting citizens' personal information from misuse is in their best interests, especially outside a country's jurisdiction.

According to reports, global spending on cloud services is anticipated to reach $1.3 trillion by 2025, representing a growth rate of almost 17% annually. The pandemic's push to move more operations to the cloud to accommodate an increase in the demand for remote work is undoubtedly accelerating this growth.

But lately, cloud sovereignty is under closer scrutiny as enterprises and governments work to reduce their external exposure and maintain control over crucial resources in the light of escalating international conflicts, evolving data protection laws, and the dominance of certain cloud operators.

What can decision-makers do to manage this complex issue? Reports suggest a four-point plan; define, assess, align, and develop: 1. Define: Examine cloud service providers from the perspective of sovereignty, considering data sovereignty (for data residency, controls, transparency, storage, backups, etc.), operational sovereignty (for security, compliance, and operational resilience), and technical sovereignty (to evaluate integration, migration features, and a straightforward exit policy/ process). 2. Assess: Set up your cloud infrastructure to be flexible: choose the most practical of use cases and sensitive workloads; think about crucial management solutions and end-to-end encryption. 3. Align: Analyse hybrid options simultaneously and prepare for a multi-cloud architecture by being aware of its advantages and disadvantages. 4. Develop: Explore the value proposition of sovereign cloud in terms of trust, security, and cooperation through ecosystem engagement to maximise its potential.

Data sovereignty in the cloud reveals a complex environment; thus, it is wise for businesses to be informed and compliant. Here are three strategies or approaches for doing this.

1.Focus on the cloud

Maybe the answer to data sovereignty is in the cloud itself! Data sovereignty is an essential factor, even while the major cloud providers, such as AWS, Microsoft, and others, credit adoption rates based on customers' focus on price, availability, and flexibility. Most IaaS providers have local data centres, allowing for the fulfilment of the first condition. Additionally, crucial features like encryption and other available security-as-a-service choices enable users to adhere to regional laws.

One critical note of caution: It is crucial that the appropriate enterprise stakeholder comprehends the data protection laws of each country and evaluates and applies the required management tools provided by each supplier to comply with these laws.

With the rise of the Chief Data Officer (CDO), the company now has a responsible individual who must make sure the cloud provider has responses to the following questions in the contract:

  1. Regulations governing privacy compliance being followed
  2. Optionality for data location and recommendations based on performance, cost, and compliance; and
  3. Methods for data encryption, key management, backups, and recovery
2.Emphasise consistency

Businesses should consistently follow even the most burdensome of regulations. Maintaining compliance with the data sovereignty regulations of each region in which an organisation conducts business is a constant problem for organisations with a worldwide presence.

The strongest of these regulations should be applied uniformly throughout all regions, regardless of what other areas require, as this will help to decrease complexity. In this, the cloud can be helpful. Choose a cloud provider that offers these features; often, the more prominent providers and those that concentrate on specific business verticals are the best.

Even the tightest restrictions cannot guarantee data security due to the growing instances of data incursions caused by breaches by third parties, such as partners, contractors, and software libraries.

Governing systems adhering to legal requirements and open to continuous policy modifications are crucial.

3.Use the cloud to implement data governance

Although the cloud provider might offer capabilities for data sovereignty, applying and updating policies on top of the tightest laws help limit risk. A thorough data governance strategy ensures adherence, ongoing risk assessment, and risk mitigation are always maintained. To do that, follow these five steps:

Discoverability: Define and control your cloud data. Quality control: Make sure domain and data sharing are followed. Compliance: Update policies on top of stringent regulations to help limit risk. Access: Access to administrators is monitored, automated, and managed; prompt customer, partner, and compliance responses are given. Lifecycle administration: Control the generation, distribution, storage, and deletion of data.

Laws and regulations governing data sovereignty are expanding in scope and complexity daily. The use of cloud infrastructure is multiplying, and the data deluge remains unabated. Together, these three provide some significant obstacles. However, businesses can advance and maintain their lead with a small initial investment and continual process implementations.

In the future, the CDO's responsibilities will continue to change and converge with those of the CIO, CISO, chief privacy officer, legal, and other roles. The organisation will be less vulnerable to risks if it can adapt by staying ahead of the data sovereignty regulations and developing robust data governance frameworks for the cloud.

img
Tableau Version 2021.4: Bringing Automation to Data Management
Bringing automation to data management is one of Tableau’s big focuses for this release, to help users get insights faster. Some key features that help with that are:
  • Virtual Connections
  • Centralized Row-Level Security
  • Edit Published Data Source
  • Parameters in Tableau Prep
Virtual Connections – Complete data source oversight in one place Virtual Connections provide users with a single centralized connection to store credentials and other connection information for a data source. It would easily connect to data as opposed to that of embedding it in all workbooks and data sources that use it. Along with greatly reducing the maintenance load, this feature enables us to create tables and share access while securing service account credentials, establishing Data Policies, and extracting data centrally. Virtual connections might sound like a published data source but in published data sources, database connection information (like credentials) is bundled with higher-level data modeling like joins, calculated fields, default properties, etc. So, any user who wants to create and share data models is also responsible for storing and sharing the connection information, even if they aren’t the best person to do so. Virtual Connections separate these two concerns into different objects so they can be owned and managed separately. Centralized Row-Level Security - Bring precision and agility to data protection In general, Row-Level Security (RLS) refers to filtering out rows of data at query time based on the current user's identity. Due to this, different users can view the same table, viz, or report and see only data they are authorized to see. RLS allows scenarios like having a regional manager only see sales created within their team, but not sales from another manager's team. Rather than implementing RLS individually on every Tableau workbook or data source accessing a sensitive table, virtual connections can be used to centrally define and manage data policies. These policies will be consistently applied across all connected Tableau Flows, Data Sources, or Workbooks that depend on that data. This gives granular control over data security while bringing flexibility to reuse data sources. Edit Published Data Source This feature makes managing data sources very effortless. Now we can create, edit and rename data sources directly in Tableau Server and Tableau Online, test the changes, and publish—all without leaving the browser. This streamlines the governance and metadata management. Parameters in Tableau Prep Parameters in Tableau Prep speed up and simplify tasks by enabling users to easily change data inputs, data outputs, and values used throughout a flow which makes reusing them much easier. Supported step types in 2021.4:
  • Inputs /Outputs File path/File name
  • Published data source name
  • Calculated fields
  • Filters
Copy and paste in dashboards Another feature that needs a special mention is Copy and paste in dashboards. Now users can easily copy images, text boxes, and web page containers within the same and across different dashboards and workbooks in Tableau Online, Tableau Server, and Tableau Desktop. Through this, one could develop customized and interactive dashboards rapidly by recreating the already formatted items. Tableau 2021.4 Highlights
  1. Data Management
    1. Virtual Connections
    2. Centralized Row-Level Security
  2. Tableau Catalog
    1. Inherited column descriptions
    2. Create flows from Catalog pages
  3. Tableau Prep Builder
    1. Tableau Prep Parameters
    2. Create Tiles
    3. Flow output Subscriptions
  4. Tableau Online
    1. Connected Apps
    2. Tableau Bridge Multi-Pool
  5. Analytics
    1. Metric Updates
      1. Show Metric status with colors
      2. Customize comparison period and data window
      3. Embed metrics
    2. Replay Animations
    3. Web authoring improvements
      1. Edit published data sources on Server and Online
      2. Copy/Paste Dashboard Zones
    The journey towards unveiling the full potential of data analytics can be experienced in a better way with this new adoption of Tableau. Guaranteed to make your work polished and effortless, Tableau 2021.4 opens up its myriad capabilities to help you derive meaning out of data. Let all the tech geeks armor up to savour the essence of this exciting update.
img
Beinex Among First to Earn Dubai AI Seal at Dubai AI Week, Cementing Its Status as a Trusted AI Leader
Beinex Among First to Earn Dubai AI Seal at Dubai AI Week, Cementing Its Status as a Trusted AI Leader

Dubai AI Seal, the first-of-its-kind initiative, was launched under the directives of His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum. Awarded by the Dubai Centre for Artificial Intelligence (DCAI), this AI Seal cements Beinex’s status as a trusted partner in AI solutions. It underscores our commitment to driving transformative impact across government and private industry throughout Dubai and beyond.

Beinex: Your Trusted AI Partner

Beinex stands out as a trusted partner for government and private-sector organizations, driving future-ready AI solutions that align with Dubai’s strategic vision for AI leadership. • Validation of Excellence: This Seal affirms Beinex’s AI governance, data security practices, and solution quality robustness.
• Expanded Collaboration: Government and private-sector entities can confidently engage with Beinex, knowing we meet Dubai’s exacting standards.
• Visibility & Credibility: The seal's display highlights Beinex’s alignment with Dubai’s strategic vision for AI and further distinguishes us in a competitive market. Connect With Us to Kickstart Your AI Journey

Dubai AI Seal: A Vision Driving Responsible AI Innovation in the Emirates

Launched in January 2025 as part of the Dubai Universal Blueprint for AI, the Dubai AI Seal is a pioneering accreditation designed to: • Promote trust in AI service providers through a rigorous evaluation framework
• Strengthen partnerships between government bodies and certified technology companies
• Reinforce Dubai’s leadership in ethical, secure, and high-impact AI deployment Companies licensed in Dubai offering AI-related products or services undergo a detailed assessment covering their AI activities, team expertise, ongoing and upcoming projects, and collaboration track record. Successful applicants receive a unique serial number and tier classification, granting them the right to display the Seal across digital platforms and promotional materials.

Beinex: Heralding AI Excellence and Innovation across the Middle East

At Beinex, we help businesses achieve full potential through our bespoke solutions in Advanced Analytics, AI/ML/RPA, Risk and Audit Analytics, Digital Twin, Generative AI, Competitive Intelligence, Data Governance, Business Intelligence, Cloud Engineering, Modern Cloud Analytics, Alteryx APA, and Tableau. As a trusted AI partner, we spearhead transformation across healthcare, finance, IT, HR, education, oil & gas, and more. Our clientele includes government bodies and private enterprises, and we drive real impact efficiently, effectively, and at scale. Beinex has also been recognized by Consultancy-ME as one of the Top Consulting Firms in the Middle East for 2024. We’ve earned top-tier rankings in Business Intelligence, Data Science, and Cloud Services, underscoring our excellence across critical service domains. In addition, Beinex has secured leading positions in the Government, Oil & Gas, Public Sector, Technology, and Banking industries. These prestigious accolades reflect our unwavering commitment to delivering innovative, high-impact solutions that drive success across diverse sectors. Looking Ahead As Dubai accelerates its AI ambitions, Beinex remains committed to pioneering responsible innovation that enhances quality of life and drives sustainable growth. We look forward to leveraging this recognition to deepen our impact, delivering state-of-the-art AI solutions that empower organizations to meet tomorrow’s challenges today.