Five Ways to Overcome Data Trust Challenges (Infographics)

Tableau Exchange: A One-stop Destination

You can access Tableau Accelerators through Tableau Exchange. Tableau Exchange is a platform where the Developer Community can showcase and offer a wide range of dashboard extensions, connectors, and accelerators. It is your all-in-one destination for offerings that accelerate your data analysis, providing prompt insights and actionable data. This platform offers a wide range of trusted solutions created by Tableau and our partner network, enabling faster time to value, catering to various use cases, and maximising your Tableau investment returns.

What exactly are Tableau Accelerators?

Tableau Accelerators are pre-built dashboards and workbooks created by industry and functional experts, allowing you to leverage analytics tailored to your specific line of business, vertical, or sector. Instead of starting from scratch, you can begin with these expert-built dashboards for various industry and departmental use cases, accelerating your data-driven insights. These pre-built assets are designed to monitor and enhance key performance indicators (KPIs) across your entire organisation.

For instance, Tableau’s healthcare offerings have introduced Accelerators that delve into metrics such as patient wait times, admission rate seasonality, readmission rates, and more. In addition to industry-specific dashboards, Tableau offers a multitude of Accelerators for various lines of business functions like marketing, sales, and corporate finance. Tableau also provides Accelerators that seamlessly integrate with critical enterprise applications and cloud services such as Salesforce, Marketo, LinkedIn, and Service Now.

How to use Tableau Accelerators? Steps

To begin utilising Tableau Accelerators, follow these steps:

1. Visit exchange.tableau.com/accelerators.
2. Once on the website, you can easily browse and filter the available Accelerators based on your specific requirements. You have the option to filter by Tableau version, connection type, language, industry, or job function.
3. Each Accelerator listing provides detailed information about how to use the dashboard effectively. It includes insights on the business questions the dashboard can address, the necessary attributes for optimal performance, demo scenarios, and even potential partners who can assist in customising the Accelerator to suit your specific requirements.

By following these simple steps, you can access the Tableau Accelerators that best align with your goals, helping you jumpstart your data analysis and derive valuable insights.

Types of Tableau Accelerators

Tableau accelerators offer valuable solutions in various fields, addressing specific industry needs and challenges. With their versatility and industry-specific capabilities, Tableau accelerators provide valuable insights and empower data-driven decision-making in various fields like corporate finance, healthcare, ESG, insurance, marketing, public sector, retail, telecommunications, supply chain and manufacturing etc.

1. Corporate Finance

The Corporate Finance Accelerator by Tableau offers finance professionals a range of powerful tools. It enables in-depth financial analysis, facilitates budgeting and forecasting, and streamlines the generation of financial reports. With this accelerator, finance teams can gain valuable insights, make informed decisions, and effectively manage the financial aspects of their organisation.

Examples of corporate finance accelerators:

a. Budget Controlling Accelerator


Budget Controlling Tableau Accelerator provides the capability to:

• • Evaluate and manage your budget expenditure effectively.
• • Analyse budget consumption from various viewpoints, including Month-to-Date, Year-to-Date, and Actual figures, and compare against the budget and the previous year, all presented in a tabular format.

b. Budget Allocation Accelerator

Using Budget Allocation Accelerator by Beinex, you can:

• • Offers a clear comparison of revenue and expenses against the budget.
• • Enables you to track the trends of revenue and expenses over time.
• • Analyses revenue and expenses by vendor, economic sector, account group, and geography.
• • Allows you to drill down into individual customer details for a more detailed understanding.
• • Makes actionable decisions based on the insights gained from the accelerator.

2. ESG (Environmental, Social, and Governance)

In the realm of ESG, Tableau accelerators enable organisations to visualise and analyse environmental, social, and governance metrics, track performance, and benchmark against industry standards.

An example of an ESG accelerator is given below:

a. ESG by Tableau

With this Tableau Accelerator, you can:

• • Evaluate global efforts in Environment, Social, and Governance (ESG) areas.
• • Analyze detailed environmental indicators.
• • Assess leading industries in terms of ESG performance.
• • Deep-dive into specific companies and benchmark their performance against competitors.

3. Healthcare

Tableau accelerators in healthcare help analyse patient data, optimise resource allocation, and enhance decision-making for improved healthcare delivery in healthcare.

An example of a healthcare accelerator is provided:

a. Budget Controlling

With this Tableau Accelerator, you can:

• • Evaluate and manage your budget consumption effectively.
• • Analyze budget consumption from various perspectives, including Month-to-Date, Year-to-Date, Actual figures, and comparisons to the Budget and Last Year.
• • View budget consumption in a tabular format for detailed analysis and insights.

4. Insurance

Insurance companies can leverage Tableau accelerators to analyse claims data, detect fraud, and monitor policy performance.

An example of an insurance accelerator is provided below:

a. Insurance Claims

With this Tableau Accelerator, you can:

• • Assess your performance in handling claims.
• • Identify the most impactful open claims for targeted action.
• • Identify the most effective agents in claims management.
• • Improve the effectiveness of your claims process.
• • Drill down to the specific claim level within your Claim Application and take immediate actions for enhanced efficiency and resolution.

5. Marketing

In the marketing sector, these accelerators assist in analysing trends, identifying growth opportunities, and optimising pricing and product strategies.

An example of an Marketing Accelerator:

a. Email Marketing Campaigns

With this Tableau Accelerator, you can:

• • Assess and enhance the efficiency of your email marketing campaigns.
• • Identify the most impactful campaigns based on key metrics and performance indicators.
• • Conduct an audit of campaign optimisation results over time, enabling data-driven improvements and informed decision-making.

6. Public Sector

Public sector organisations can use Tableau accelerators to monitor government initiatives, improve public service delivery, and track budget allocation. Retail businesses can benefit from analysing sales data, optimising inventory management, and enhancing customer experience.

An example of an Public Sector Accelerator:

a. Emergency Cells

With this Tableau Accelerator, you can:

• • Assess and improve the efficiency of handling emergency calls.
• • Enhance citizen service across different areas.
• • Optimise resource allocation to areas with the greatest need.
• • Adapt staffing levels to accommodate activity peaks and ensure an effective emergency response.

7. Retail

Retail businesses can benefit from Tableau accelerators to analyse sales data, optimise inventory management, and enhance customer experience.

An example of a retail accelerator:

a. Salesforce Data Cloud - Retail Sales by Tableau

This Tableau Accelerator enables you to:

• • Assess network performance and drive sales growth.
• • Predict sales evolution and optimise product mix.
• • Identify emerging/declining products and pinpoint stores in need of assistance.
• • Learn from top-performing stores and identify sales drivers.
• • Dive into detailed insights at the store, product line, and product levels. Watch the demo video to see it in action.

8. Telecommunications

Telecommunications companies can leverage accelerators to analyse network performance and improve customer satisfaction. Supply chain and manufacturing organisations can optimize operations, track production data, and streamline inventory management.

Game Analytics is an example of a telecommunications accelerator:

a. Gaming Analytics by Lovelytics

The Gaming Analytics Accelerator offers performance metrics for your game, integrating game telemetry, usage stats, marketplace data, platform data, and external sources like social media. It provides insights into game-playing patterns, consumption, and revenue. This Accelerator aims to help gaming by:

• • Facilitating the quick and easy acquisition of new customers.
• • Enhancing the gamer experience.
• • Tracking revenue and spending patterns within the game.

9. Supply Chain and Manufacturing

Supply chain and manufacturing organisations can optimise operations, track production data, and streamline inventory management.

a. Occupational Health and Safety by Tableau

With this Tableau Accelerator, you can:

• • Assess and improve employee health in the workplace.
• • Identify safety hazards, risks, and areas of concern.
• • Reduce and prevent injuries, sickness, and accidents.
• • Strive towards the goal of achieving Zero Harm and compliance with industry standards.

10. Energy

Accelerators help monitor energy consumption, optimise resource usage, and track environmental impact in the energy sector.

Two examples of accelerators of the energy sector are given below:

a. Power Grid Connections by Tableau

With this Tableau Accelerator, you can:

• • Assess and enhance your ability to handle Power Grid connection requests.
• • Evaluate the level of service you deliver to customers.
• • Identify priority requests to handle first for efficient resource allocation.
• • Focus your efforts on areas that require immediate attention and improvement.

b. Risk Register Accelerator

The Risk Register Accelerator by Tableau enables you to:

• • Assess your current exposure to risks.
• • Monitor and prioritise risks, focusing on key areas.
• • Evaluate the effectiveness of your risk mitigation and elimination efforts.

Beinex+ Tableau Partnership

Beinex, a premier Tableau partner, provide sustainable analytics solutions to organisations and help 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 passionate about Tableau and delivering a world-class experience. Connect with us for a Tableau free trial.

Data preparation is purging imperfectly formed data, reorganising unclean data, and merging various data sets for analysis. Rows and columns in the data structure must be changed, and data types and values must be cleaned up. The amount of time it takes to find insights directly depends on how quickly and well you prepare your data. The entire process can be sped up by being aware of the extent of the data you're studying and observing the modifications you make to the data. With the help of Tableau Prep Builder, data can be combined, shaped, and cleaned more quickly and easily for analysis within Tableau. You can swiftly obtain high-quality data using the linear and visual approach when preparing your data. When ushering in data into a data prep tool, it is always better to know what you're working with and whether you're looking at the complete data set or just a subset. Before you begin cleaning, you might also need to undertake some data research. Five crucial steps are to be taken care of for prepping the data. Let's have a look:

1. Adjust the data sample size

2.Evaluate the data

You'll probably want to start by counting the number of distinct values in each field. A simple check at the column header at the top reveals how many states are represented in the data set. You'll also want to understand how various values connect to identify data outliers or problems. You can utilise highlighting in Tableau Prep to find correlations between different fields. The data grid view is condensed to only display the records with the selected value in the chosen field when you click on a value in the profile pane. Tableau Prep highlights the corresponding values in blue, and the values span areas.

3.Filter the data

Limit the fields you import into Tableau Prep to those you'll need for your analysis to maximise the overall effectiveness of your data preparation process. By filtering your data, you can verify that you're performing the proper analysis while saving time. For instance, if you need to look at sales data from the previous two years, you may use the range or relative date filters to limit the date field to that period. You might want to eliminate any incorrect or irrelevant data. A value in the data pane can be excluded with a single click. You can do this at any time during your flow.

4.Assess and tidy up the data

Tableau's data types will have an impact on your analysis. Therefore, it's critical to correctly identify each field before beginning. Even though Tableau allows you to update aliases, alter data types, split lots, and create calculations, it is far simpler to carry out these tasks beforehand, particularly when preparing the data set for someone else. Tableau Prep includes built-in capabilities to aggregate and replace recurring characters or pronunciation, saving you from having to edit each one individually so that you don't have to; these solutions use algorithms to make cleaning easier. Or, if you foresee a missing value, you may manually add it so that it will be included when the flow processes the complete data set. You can apply a computation if you know that a field must be cleaned or filtered, but it takes more than the user interface offers.

5.Understand the data results

Deciding about the final data set's appearance while you begin to prepare your data can be difficult. For Tableau to effectively analyse your data, you might need to merge numerous data sources or pivot your data from columns to rows. One technique to get beyond this obstacle is visualising the data pane in Tableau Desktop as to how it should appear. Do you have columns with the same value in several places? Should each product be in a single field with the sales transactions stated below, or should each product have its column with the sales transactions listed underneath? The latter is more likely, and a pivot is necessary for this situation. You will be joining the data if you need to combine two tables. By using a join, you can increase the number of fields in your data source that you can investigate. Although a join can be added at any point during the data preparation process, the sooner you use it, the sooner you will comprehend the data set and identify areas that require immediate attention. Like appending two data sets together, a union enables you to do so. For instance, you might have an Excel file where each sheet displays transactions from different years. You may maintain the same structure with extra rows by using a union rather than joining the tables. After your data has been organised, processed, and filtered, it's time to interpret what it is trying to tell you. Tableau Prep connects with your entire business intelligence platform like many other data preparation products. To allow others to begin their analysis, publish the extract to Tableau Server or Tableau Cloud. Bring it into Tableau Desktop to start posing and investigating more in-depth queries. The hardest part of the data analysis process is now complete. It's time to share the breakthroughs that resulted from your hard work.

Benefits of Snowflake Time Travel

With Snowflake Time Travel, you can access historical data, including data that has been altered or deleted, at any given point. This feature is helpful for various tasks, such as:

• • Querying data that has been modified or erased in the past
• • Duplicating entire tables, schemas, or databases at or before specific dates
• • Restoring deleted tables, schemas, and databases

How to activate Snowflake Time Travel?

Activating Snowflake Time Travel is a simple process that requires no additional effort. It is automatically activated with a retention period of one day. Nonetheless, upgrading to the Snowflake Enterprise Edition is necessary to customise the Data Retention Period and extend it to 90 days for Databases, Schemas, and Tables. It's important to note that increasing the Data Retention Period results in additional storage usage, reflected in your monthly Storage Fees.

Data Retention Period in Snowflake

In Snowflake, Data Retention Period determine how long historical data is retained to support Time Travel functionality. When data in a table is altered, such as through deletions or updates, Snowflake maintains the previous state of the data so that Time Travel operations (like SELECT, CREATE...CLONE, UNDROP) can be performed on it. By default, all Snowflake accounts have a standard retention period of one day (24 hours).

However, the Retention Period can be adjusted at the account and object level in the Snowflake Standard Edition to 0 (or unset to the default of 1 day) for databases, schemas, and tables.

In the Snowflake Enterprise Edition or higher, the Retention Period can be set to 0 for temporary databases, schemas, tables, and temporary tables. For permanent databases, schemas, and tables, the Retention Time can be configured to any duration between 0 and 90 days.

Functions of Snowflake Time Travel SQL Extensions

Snowflake Time Travel SQL Extensions are special SQL commands that allow users to query historical data from a specific point in time using the Time Travel feature. These extensions enable users to perform various Time Travel operations, including:

• a. CLONE: This command creates a copy of a table, schema, or database at a specific point in time using Time Travel.
• b. UNDROP: This command restores a dropped table, schema, or database to a specific point in time using Time Travel.
• c. HISTORY: This command retrieves the history of changes made to a table, schema, or database over time using Time Travel.
• d. AS OF: This command retrieves data from a table as it appeared at a specific point in time using Time Travel.

Specifying a Custom Data Retention Period for Snowflake Time Travel

To specify a custom Data Retention Period for Snowflake Time Travel, you can use the DATA_RETENTION_TIME IN_DAYS argument in the command when creating a table, schema, or database. By default, the maximum Retention Time in Standard Edition is set to 1 day (i.e. 24 hours), while in Snowflake Enterprise Edition (and higher), it can be set to any value up to 90 days.

The Data Retention Time can be set in the way it has been placed in the example below.

To create a schema with a custom Data Retention Period of 60 days, you can use the following SQL command:

create table mytable(col1 number, col2 date) data_retention_time_in_days=60;

Modify the Data Retention Period for Snowflake Objects

To modify the Data Retention Period of a Snowflake object, any change made to the Retention Period affects both active data and data in Time Travel. Depending on whether the period is increased or decreased, the following impacts occur:

• a. Increasing Retention
• b. Decreasing Retention

Let’s dive deep into more details:

a. Increasing Retention
Snowflake Time Travel preserves the data for a more extended period. For instance, if a Table’s Retention Time is increased from 10 to 20 days, the data set to be deleted after ten days will be retained for an additional ten days before being moved to Fail-Safe. However, data over ten days old and already transferred to Fail-Safe mode is unaffected.

b. Decreasing Retention
The duration of data stored in Time Travel is reduced. The shorter Retention Period applies only to active data updated after the Retention Period is shortened. If the data is still within the new Retention Period, it stays in Time Travel; otherwise, it is placed in Fail-Safe Mode. For instance, if a table with a 10-day Retention Period is reduced to 1 day, data from day 2 through day ten will be transferred to Fail-Safe, and only data from day one will be accessible through Time Travel.

Since the background process moves the data from Snowflake Time Travel to Fail-Safe, it may take some time to see the changes. Although Snowflake guarantees that the data will be transferred, it does not specify when the process will be finished. The data remains accessible via Time Travel until the background process is completed. To change an object's Retention Period, use ALTER object command, such as the following command for modifying a table's Retention Period:

alter table mytable set data_retention_time_in_days=30;

Snowflake Time Travel Data Query

To query previous versions of data in Snowflake Time Travel, you can use the AT | BEFORE Clause after making any DML actions on a table. This clause allows you to query data at or before a certain point in the table's history throughout the retention period. The specified threshold can be either time-based (e.g., a timestamp or time offset from the present) or a statement ID (e.g., SELECT or INSERT).

For example, to select historical data from a table as of a specific date and time, you can use a query like:

sql
SELECT * FROM my table AT (TIMESTAMP => 'Fri, 05 May 2023 16:20:00 -

If you want to pull data from a table that was last updated a certain number of minutes ago, you can use a query like:

sql
SELECT * FROM my_table AT(OFFSET => -60*5);

And to collect historical data from a table up to a specified statement's modifications, but not including them, you can use a query like:

Sql
SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c57

How to Restore Deleted Objects by Utilising the UNDROP Command?

To restore a deleted object that hasn't been permanently removed from the system (meaning it can still be seen in the "SHOW object type> HISTORY" output), you can use the UNDROP command in conjunction with Snowflake Time Travel. This command can be applied to various objects, such as tables, schemas, and databases. It effectively reverts the thing to its previous state before it was deleted with the DROP command. For example, the UNDROP command can also restore a dropped database.

Summing Up

Snowflake Time Travel’s features can enhance your decision-making process and overall data experience. If you're looking for a Snowflake service provider, Beinex is an excellent option. Our partnership with Snowflake enables us to offer advanced features like automated tuning, elastic compute, and analytics modernisation services to help your organisation realise exponential Returns on Investment.

Under the thematic area of “Decoding Barriers to Pave the Way for UAE’s Digital Future”, Digital Transformation Summit brings together UAE’s 200+ CTOs, CIOs, CISOs, heads of digital transformation, IT infrastructure, cyber security, information and communication technologies and other experts in the domain.

Beinex is a multinational firm exploring the endless possibilities of data for Cloud, Analytics, Artificial Intelligence, Machine Learning, and Automation.

Partnerships are what make Beinex stronger. The company has solid partnerships with some of the leading technology firms, research labs, and universities around the globe. Beinex has robust, substantive business alliances at multiple levels with Microsoft, Salesforce, AWS, Tableau, Alteryx, Snowflake and other leading techno-ecosystems.

By virtue of these partnerships and its constant urge to drive past excellence benchmarks, Beinex became a deserving candidate to win this prestigious award.

And the Award Goes to Beinex

In effect, Beinex architects, guides, leads, and implements solutions in Analytics, AI, and ML for the spheres of Digital Transformation, GRC, and Risk & Audit Transformation. Present in three continents, Beinex enables its clients to analyze data, mitigate risks, identify opportunities and automate processes.

The award recognizes the relentless pursuit of excellence by Team Beinex in the domains it is into.

“It is a moment of pride and happiness for Beinex. The award secured in the Best in Data & Analytics category at the Digital Transformation Summit, UAE, 2022, is a testimony to the fact that Beinex has continuously and without fail pursued business excellence powered by innovation and experience. We acknowledge and understand that with great recognition comes responsibilities of a greater degree, a calling of a higher order. And we will continue to honor and live up to them. On this joyous occasion, I would love to thank Team Beinex for what they have achieved! This award belongs to them”, noted Indumon Das, the Founder & Managing Director, Beinex.

Beinex Holdings is a group of six companies. As an organization, Beinex believes in the power of ideas, innovation, and unparalleled customer service to change the world for good. Beinex Digital, a part of Beinex Holdings, is a digital transformation entity with a comprehensive suite of independent products focused on addressing specific business gaps, use cases, and needs.

It incorporates a spectrum of solutions related to employee health and safety, enterprise product management, performance management, and audit & risk management.

Benefits: Enhanced Data Cloud Capabilities

The partnership will let Beinex turbocharge services on the AI-ML, analytics fronts by utilising storage and compute scalability unlocked by the unique collaboration. It awards Beinex and its clients the capability to flourish in terms of cost leadership, domain leadership and added utilisation of potential in sync with market conditions.

Data marketplace enhancement

The partnership also means that acquiring and testing third-party data is now easier which also entails the Snowflake users to imbibe the expanded third-party data into their environment, attach it to their first-party data and evaluate the data efficacy vis-à-vis customer experience along with the impact it can create.

There is little doubt that the capability is very much in demand as Beinex clients are into delivering powerful customer/ user experience as a part of their service efforts

Features:

• Privacy-safe
• Secure sharing platform
• No need to set up extra secure portals to support sharing of Personally Identifiable Information

UAE data residency requirements are also met thanks to the Snowflake domestic capacity.

The power of partnership

Beinex partnership with Snowflake enables it to offer clients advanced features like automated tuning and elastic compute with unlimited decoupled computing capability, along with the analytics modernization services, to help organisations realise exponential Return on Investment. This upgrade in status will take business to the next level for both Beinex and its esteemed client line-up.

Partnerships are what make Beinex stronger. The company has strong partnerships with some of the leading technology firms, research labs, and universities around the globe.

Businesses can leverage the power of our partner ecosystem to maximize the value of their end-to-end analytics journey.

Beinex is ecstatic to receive this recognition as a Snowflake select services tier partner and is grateful to Snowflake for acknowledging its client services.