بيانات الأسئلة: لغة تابلو الجديدة الطبيعية

The AWS Partner Awards recognise a wide range of Partners, whose business models have embraced specialisation and collaboration over the past year. The AWS Partner Awards also recognise AWS Partners whose business models continue to evolve and thrive on the AWS Cloud as they work with customers to conceive, build and migrate cloud-native solutions on AWS. Receiving the Award, Indumon Das, the Founder and Managing Director of Beinex, remarked, "We leverage the capabilities of AWS and combine that with the Analytics Consulting power of Beinex to bring unmatched success to our customers. We look forward to the launch of the AWS data centers in the UAE in the first half of 2022. The launch will have a big impact on the growth and acceleration of cloud adoption in the Middle East and we are excited to support organizations to take advantage of what it has to offer." The AWS Partner Network (APN) is the global community of businesses using AWS to build solutions and services for customers. AWS helps partners build, market, and sell their offerings by providing valuable business, marketing, and technical support on top of our proven, global, and secure infrastructure. AWS partners are uniquely positioned to help customers take full advantage of all that AWS has to offer and accelerate their journey to the cloud. AWS has millions of active customers and a dynamic community of over 100,000 partners globally. "AWS Partners add value to customers across a wide range of industries around the world and are critical to their success. We are pleased to recognise a variety of partners through the APN Partner Awards EMEA 2021. I look forward to working together to a great 2022," said Antonio Alonzo Lopez, EMEA Director Partner Success at AWS. About Beinex Beinex, Dubai, is a multinational firm exploring the endless possibilities of data for Cloud, Analytics, Artificial Intelligence, Machine Learning, and Automation.

Nevertheless, despite these challenges, SMBs should take heart in the fact that the global BI market is projected to grow to an impressive $43 billion by 2028. While the current adoption rate of BI among SMBs may be lower than that of larger companies, this simply means that there is plenty of room for growth and innovation in this space. By embracing BI and leveraging its power to make data-driven decisions, SMBs can level the playing field and even gain a competitive edge over their larger rivals. So, let's not lament the obstacles, but rather focus on the opportunities that BI presents for small businesses and startups to achieve success in the digital age.

The Solution: BI Tools

To overcome the challenges, SMBs can turn to technology and budget as more surmountable obstacles. While many businesses today utilize SaaS-driven technology to automate processes such as:

1. Creating Invoices
2. Sending Messages
3. Tracking Time
4. Running Marketing Campaigns

The data generated from these operations can be overwhelming and expensive to collect. This is where business intelligence (BI) tools come into play. SMBs that have undergone digital transformation are already generating data related to their business operations, and with the right BI features, they can derive valuable insights to meet their business objectives. With BI, small business owners can analyze consumer behaviour, estimate market trends, forecast sales, and improve customer experience - capabilities that were previously thought to be exclusive to enterprise companies. By leveraging BI, SMBs can level the playing field and gain a competitive edge.

Business Intelligence (BI) is a set of tools, techniques, and technologies that help businesses collect, analyze, and interpret data to make better decisions. BI is an essential tool for large enterprises, but its benefits are not limited to big organizations. Small and medium-sized businesses (SMBs) can also benefit from BI in many ways.

Top Benefits of BI for SMBs

1. Improved Decision-making

The primary benefit of BI is improved decision-making. BI helps SMBs to make informed decisions by providing them with the necessary data and insights. By analyzing data from various sources, such as sales, customer feedback, and market trends, SMBs can make data-driven decisions that lead to better outcomes. For instance, if an SMB is looking to expand its business, BI can help it identify the best markets to target and the products or services that are likely to perform well in those markets.

2. Increased Efficiency

BI can help SMBs to increase their efficiency by automating repetitive tasks and reducing manual errors. With BI, businesses can automate tasks like report generation and data analysis, which saves time and reduces the likelihood of errors. By freeing up time, SMBs can focus on more critical tasks like developing new products, improving customer service, and expanding their business.

3. Better Customer Experience

BI can help SMBs to understand their customers better and improve their experience. By analyzing customer data, SMBs can identify customer needs and preferences, which enables them to offer more personalized products and services. For instance, if an SMB analyzes customer data and identifies that most of its customers prefer a particular type of product, it can focus on producing more of that product.

4. Competitive Advantage

BI can give SMBs a competitive advantage by providing them with insights that their competitors don't have. By analyzing data from various sources, SMBs can identify new market opportunities, develop better products, and improve their services. With this information, SMBs can stay ahead of their competitors and respond quickly to changes in the market.

5. Improved Financial Performance

BI can help SMBs to improve their financial performance by identifying areas where they can cut costs and increase revenue. By analyzing financial data, SMBs can identify areas where they are overspending and find ways to reduce costs. Additionally, by analyzing sales data, SMBs can identify products that are not performing well and focus on developing or promoting products that are more profitable.

6. Better Inventory Management

BI can help SMBs to manage their inventory more effectively by providing real-time information on inventory levels and demand. By analyzing sales data, SMBs can identify which products are selling well and ensure that they have enough inventory to meet customer demand. By having the right inventory levels, SMBs can avoid stockouts and lost sales.

7. Improved Operational Efficiency

BI can help SMBs to improve their operational efficiency by providing real-time data on key performance indicators (KPIs). By tracking KPIs like sales, inventory levels, and customer satisfaction, SMBs can identify areas where they need to improve and take action to address those areas. With this information, SMBs can make continuous improvements to their operations, which leads to better outcomes and increased profitability.

Summing Up

BI is a valuable tool for SMBs that want to improve their decision-making, increase efficiency, and gain a competitive advantage. By analyzing data from various sources, SMBs can make informed decisions that lead to better outcomes, improve their operational efficiency, and improve their financial performance. With the benefits of BI, SMBs can stay ahead of their competitors, improve their customer experience, and grow their business.
Business Intelligence services extended by Beinex deliver solutions to all your business questions. At-a-glance analysis facilitated by cutting-edge BI tools does wonder to every industry. Analysing enormous and complex data couldn’t be mind-boggling for you anymore with BI tools. With Beinex, you can interact with an agile and intuitive system to validate your data, navigate your vision, and execute it in a data-driven way to tap into potent entrepreneurial potential.

When you gather consumer insights, you will learn about how your prospects interact with your marketing platforms, sales team, support personnel, and product. Your team is equipped with this crucial information, so you can make informed judgements about the efforts they should be making.
The environment of analytics, business intelligence (BI), and data science is changing at an accelerated rate due to increased consumerization of analytics technology and the demand for communities. The introduction of tools like UPI has effectively integrated small and medium-sized businesses into the financial system. The ability to prove creditworthiness through payments placed straight into current accounts has increased for firms.
The goal of marketing has always been to influence consumers. The core purpose of marketing is to alter behaviour, whether it be to encourage the purchase of a new product or merely to increase brand recognition in a crowded marketplace. Therefore, it makes sense for your marketing measurement plan to be centred on the behaviours that bring in money for your company. You can improve the return on investment of your marketing spend by better understanding your market by researching important customer behaviours. The understanding that analysis needs to be more focused on marketing indicators rather than the conventional web metrics like site visits, time on site, bounce rate, etc. that we've grown so accustomed to has also matured along with digital analytics.

The key advanced analytics techniques that help to understand consumer behaviour are enlisted below:

1. Identifying Revenue-oriented Metrics and ROI
2. Understanding the Importance of Multi-Channel Attribution
3. User-centric Monitoring

Identifying Revenue-oriented Metrics and ROI

Understanding how user behaviour on your site translates into money for your company is a crucial point. In other words, are visitors who do particular actions on your website more likely to buy something? The majority of the time, the response is a stunning yes! You can monetize all on-site behaviours by assigning a monetary value to them, even if the behaviour does not immediately result in a sale. The first step is to identify the key customer engagement points and track customers who have taken the desired actions. From there, a simple calculation may be created to calculate the income they produce. Based on this you can calculate your ROI.

Understanding the Importance of Multi-Channel Attribution

Multi-channel attribution has an important part to play here. It is the process of identifying marketing interactions in a customer journey that finally leads to conversions.
It goes without saying that as consumers are exposed to more online and physical marketing channels across more devices, the complexity of tracking keeps growing. But it's critical to keep up with the most recent trends and statistics. The advantages are many. It helps to achieve a more precise understanding of the ways media platforms and devices affect behaviour and financial outcomes. A comprehensive view of how various channels interact and function within your media mix and at various phases of the funnel can also be achieved. Finally, the accumulation of information for scenario modelling and budgeting to enhance ROI and optimise the media mix. Although high-end enterprise clients still have access to the most sophisticated attribution analysis tools, recent acquisitions and mergers indicate that mid-market and small firms will likely use these techniques more frequently in the near future.

User-centric Monitoring

User's "session” starts when a person joins the website and ends when they leave; this has been the primary unit of measurement for traditional web metrics. The growth of technology and the popularity of mobile devices, have, however, given marketers, in general, a new "demand." We now want to be able to track users as they interact with our sites through different channels and analyse their behaviour as they switch between different devices. Modern analytics software is driven by the need to continuously follow individual user behaviour across sessions and devices in addition to gathering data from all these different channels and devices. Understanding these various behavioural patterns is crucial for both developers and marketers to customise messaging and user experiences across a variety of channels and devices.

How to Gather Customer Insights Using Advanced Analytics

Marketing professionals all over the world are utilising analytics, which allows them to gain insights and create customised marketing messages. But, how? In what ways do data analytics and big data assist marketers in creating tailored ads based on consumer behaviour? How can you take advantage of the opportunity to make use of current data and improve consumer understanding?
Any firm that wants to excel at client interaction must have real-time analytics. While businesses of all colours have been substantially investing in technologies to better understand their customers, most of them miss out on the opportunity because of outdated IT systems and deeply ingrained structures and processes. It is no longer enough to just collect client data in your CRM software without figuring out how to interpret it. A successful firm must have a sizable, devoted customer base. However, how can you build such a customer base? You must be intimately familiar with your target market to build and keep consumer loyalty. You will need consumer behaviour analytics for this to better understand them and increase sales.
The necessity to concentrate on consumers' requirements is one thing all organisations have in common. To meet the expectations of the consumer, a thorough understanding of their needs and desires is necessary. Long-term success depends on giving your team the tools they need to gather data on client behaviour. To optimise customer journeys, it is essential to gain insight into the motives and actions of customers. Start utilising customer insights for the expansion of your organisation with Advanced Analytics.

Beinex Offerings

Advanced Analytics services from Beinex explain the why and how of change in your enterprise – the top line, bottom line behaviours and everything in between, from your organisational data. Enhance efficiency and expand your market share and presence. Make the most out of Advanced Analytics by partnering with the right people. Beinex!

What’s New in Version 2

Version 2 of the Cost Optimizer app brings a host of innovative features aimed at empowering organizations to better understand and manage their Snowflake-related costs. The highlight of this release is the introduction of Cortex Usage Insights, which provides unprecedented visibility into resource utilization and optimization opportunities.

Changelog:

• Cortex Usage Insights: This new analytics feature allows users to track and optimize Cortex resource utilization. By providing detailed insights into how Cortex services are being used, organizations can identify inefficiencies and make data-driven decisions to reduce costs without compromising performance. • Enhanced Cost Transparency: Version 2 also includes improved reporting capabilities for Cortex-related expenditures. Users can now access granular cost breakdowns, enabling them to understand exactly where their Snowflake budget is being allocated and how to optimize it further. These enhancements make the Cost Optimizer app an indispensable tool for organizations leveraging Snowflake’s advanced capabilities, particularly those utilizing Cortex services.

What is Cortex Services from Snowflake?

Snowflake Cortex is a powerful suite of services designed to simplify and accelerate AI and machine learning (ML) workflows directly within the Snowflake Data Cloud. Cortex enables organizations to harness the power of AI without the need for extensive coding or specialized expertise. Key features of Snowflake Cortex include: • AI and ML Integration: Cortex allows users to build, train, and deploy machine learning models using SQL, making AI accessible to a broader range of users. • No-Code Development: With Cortex, even non-technical users can leverage AI capabilities to derive insights and make data-driven decisions. • Advanced Analytics: Cortex provides pre-built models and functions for tasks like anomaly detection, forecasting, and sentiment analysis, enabling organizations to unlock the full potential of their data. • Cortex LLM: Snowflake Cortex LLM Functions offer businesses seamless access to industry-leading large language models (LLMs) with enhanced retrieval capabilities and improved AI safety. This update introduces support for new high-performing LLMs.

By integrating Cortex Usage Insights into the Cost Optimizer app, Beinex is helping organizations maximize the value of their Snowflake Cortex investments while keeping costs under control. The Cost Optimizer app is available on the Snowflake Marketplace, making it easy for organizations to access and deploy this powerful tool. Whether you’re looking to optimize costs, gain deeper insights into resource utilization, or enhance your Cortex-related analytics, the Cost Optimizer app is your go-to solution. Get the Cost Optimizer App on Snowflake Marketplace Version 2 of Beinex’s Cost Optimizer app represents a significant step forward in cost management and optimization for Snowflake users. With its new Cortex Usage Insights and enhanced cost transparency features, the app empowers organizations to make smarter, data-driven decisions while keeping costs in check. Explore the Cost Optimizer app on the Snowflake Marketplace today and take the first step toward unlocking the full potential of your Snowflake investment.

The Primary Means to Narrate Stories in Tableau

We can represent the visuals using the following three formats on Tableau:

1. Sheets: Spaces where we can build individual visuals are called sheets. A worksheet has a single view in its sidebar, as well as shelves, cards, legends, and the Data and Analytics panes. A workbook is a sheet file structure along the lines of Microsoft Excel. It includes sheets that can function as a worksheet, a dashboard, or even a story

Source: https://help.tableau.com/current/pro/desktop/en-us/inspectdata_describe.htm

2. Dashboards: Most commonly used reporting format, a dashboard is a layout where sheets are arranged in a meaningful manner. It is a collection of views that helps you to compare a variety of data at the same time. If you have a set of views that should be reviewed every day, then you can create a dashboard that displays all of the views at once rather than navigating to separate worksheets. Think of the efficiency gains that this can bring about.

Source: https://www.tableau.com/about/blog/2020/5/6-dashboards-tableau-partners-help-you-mitigate-covid-19

3. Story:Sheets or dashboards arranged in a sequence to convey information. A story is a collection of visuals that work together to convey information. Stories can be created to tell a data narrative, provide context, show how decisions affect outcomes, or simply make a compelling case.

Source: https://help.tableau.com/current/pro/desktop/en-us/stories

Default Charts in Tableau

Through a set of default charts created with Tableau, data sets can be displayed in a comprehensible way. Let's have a look at a few types of charts:

1. Area Chart:An area chart is a line chart with a colour shaded area between the line and the axis. These charts constitute the most common approach to illustrate stacked lines and are often used to represent accumulated totals over time.

Source: https://help.tableau.com/current/pro/desktop/en-us/qs_area_charts.htm

2. Bar Chart:Place a dimension on the Rows shelf and a measure on the Columns shelf to make a bar chart or vice versa. We may compare numerical data such as integers and percentages using bar charts. Each variable's value is represented by the length of each bar. Bar charts, for example, might demonstrate how much money a small business spends on various expenses.

Source: https://www.tableau.com/data-insights/reference-library/visual-analytics/charts/bar-charts

3. Box-and-whisker Plots:When demonstrating the distribution of data points across a specified metric, box-and-whisker plots, also known as box plots, are an excellent chart to employ. The ranges within the variables measured are represented in these graphs. These graphics are useful for comparing the distributions of multiple variables.

Source: https://help.tableau.com/current/pro/desktop/en-us/buildexamples_boxplot.htm

4. Bubble cloud: In bubble clouds, data is displayed in a cluster of circles. Individual bubbles are defined by dimensions, while individual circles are defined by measures. A bubble chart's design allows it to display multiple variables. Individual bubbles represent dimension field values, while measure field values define the size and colour of the bubble. As a result, we can examine a plot with at least three variables, one dimension and two measure fields.

Source: https://help.tableau.com/current/pro/desktop/en-us/buildexamples_bubbles.htm

5. Bullet Graph:Bullet graphs are a type of bar graph that was created to replace dashboard gauges and metres. When comparing the performance of a major metric to one or more other measures, a bullet graph is beneficial. A bullet graph can help you visualise your objective, the current data set, and past data sets; all in one visualisation if you have a target goal that you need to meet on a regular basis

Source: https://www.tableau.com/data-insights/reference-library/visual-analytics/charts/bullet-graph

6. Cartogram:Choropleth Maps, also known as Filled Maps, are a powerful tool for studying geographic data, especially for maps with a lot of detail (e.g., US by counties or ZIP codes). They make it simple to detect geographical hotspots and then drill down into these areas using several visualisation options.

Source: https://www.pluralsight.com/guides/build-filled-maps-in-tableau

7. Click View:The circle view is a useful representation for comparative analysis. It's the same as using the circle marker on a scatter plot. Every mark is in the shape of a circle and can be used for subsequent actions.

Source:https://interworks.com/blog/ccapitula/2014/10/17/tableau-essentials-chart-types-circle-view/

8. Gantt Chart:Gantt charts are used in project management to depict the length of time between events or activities. As a project management tool, it highlights the interdependencies between activities and illuminates the workflow timeline.

Source:https://help.tableau.com/current/pro/desktop/en-us/buildexamples_gantt.htm

9. Heat Map:In a heat map, data is displayed along with colours. Using one or more Dimensions members and the Measure value, a heat map can be created. Heat Map helps to compare data by colour. For example, how many products have failed to meet the company's expectations, and how many products have exceeded expectations, and so on.

Source:https://help.tableau.com/current/pro/desktop/en-us/buildexamples_highlight.htm

10. Histogram:A histogram is a graph that depicts a distribution's form. It divides values for a continuous metric into bins and segregates a set of data points into user-specified ranges. The histogram, which resembles a bar graph in appearance, condenses a data series into an easily interpreted visual by grouping many data points into logical ranges or bins.

Source: https://help.tableau.com/current/pro/desktop/en-us/buildexamples_histogram.htm

11. Scatter Plot (2D or 3D):Scatter plots are a type of graph that is used to show the correlations between numerical data. They are used to depict the link between three variables by plotting data points on three axes. Each column on the X, Y, and Z axes is represented by a marker, whose position is determined by the values in the columns.

Source: https://www.dataplusscience.com/TabCharts/scatterplotsize.html

12. Streamgraph:Streamgraph shows how a number value (Y-axis) changes in response to another numeric value (X-axis). It is a sort of stacked area chart. The relative proportions of the entire can be studied using a stream chart.

Source: https://greatified.com/2018/09/17/how-to-build-a-stream-graph-in-tableau-software/

13. Text Tables:Text tables (also called cross-tabs or pivot tables) are created by placing one dimension on the Rows shelf and another dimension on the Columns shelf. Then, on the Marks card, slide one or more measures to Text to complete the view.

Source: https://help.tableau.com/current/pro/desktop/en-us/buildexamples_text.htm#:~:text

14. Treemap:Treemaps are used to show data in the form of nested rectangles. Dimensions define the structure of the treemap, while measures define the size or colour of the individual rectangles. It is a simple data visualisation that can provide information in a visually appealing format.

Source: https://help.tableau.com/current/pro/desktop/en-us/buildexamples_treemap.htm

15. Word Cloud:The word cloud is an excellent visual for representing the frequency of words in a given volume of Text. In a word cloud, the most important or unique words from the data are arranged in groups. The main goal of making a word cloud is to provide the viewer with a quick understanding of the important and unique words in the data.

Source: https://www.edupristine.com/blog/creating-word-cloud-tableau

Custom Visuals in Tableau

Tableau also provides a range of custom visuals. Creating them is just a question of one's expertise in Tableau.

1. Dot Distribution Map: Maps that help to spot visual clusters are known as point or dot distribution maps. Dot distribution maps are excellent for displaying how data points are dispersed.

Source: https://help.tableau.com/current/pro/desktop/en-us/maps_howto_pointdistribution.htm

2. Network:Nodes and edges make up a network graph. By connecting nodes with similar features, network visualisations show relationships between items. A network graph is a type of data visualisation that allows consumers to quickly grasp data relationships. Nodes are single data points with edges connecting them to other nodes. The relationship between two or more nodes is represented by edges. This enables the user to easily visualise clusters and establish linkages.

Source: https://ladataviz.com/2019/12/15/build-a-network-graph-in-tableau-in-three-steps/

3. Polar Area:The Polar Area Chart, also known as the Coxcomb chart, resembles a pie chart except that all of the slices have the same angle and the length of the slice that extends spirally from the centre represents quantity.

Source: https://tableau.toanhoang.com/creating-a-polar-chart-in-tableau/

4. Radial Tree:A radial bar chart is a type of pie chart. Like a pie chart, it depicts the relationship of parts to the whole, but it can also include subcategories for each part of the total. Each category in the data series plotted in a radial bar chart is assigned a different colour, whereas all subcategories are assigned the same colour.

Source:https://boraberan.wordpress.com/2014/12/31/radial-treemaps-bar-charts-in-tableau/

5. Timeline:The timeline chart, as the name implies, depicts the significant events that occur in the month, year, or even day. The timeline can also be used as a calendar to display forthcoming events.

Source: https://playfairdata.com/how-to-make-a-timeline-in-tableau/