Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية We have included a long touch on the Power BI app launcher to provide you rapid access to your frequently used objects. You may then access the things immediately from the launcher, as well as drag them to your device’s home screen for future usage. The ability to build report and dashboard shortcuts might be useful in the following scenarios:
Apps are used by many of our clients to share content inside their companies. When you browse an app, it has a landing item that opens by default Power BI Services in Saudi Arabia. But what if the default item isn’t what you’re looking for? You may also create shortcuts to objects within the app, giving you instant access to them without having to first navigate to the app’s usual landing page.
External Tenant Objects Shortcuts (B2B)
You may also utilize shortcuts to keep track of stuff shared with you by external tenants (B2B items). You may now build shortcuts for these things and access them directly from your device’s home screen, rather than storing the “shared report” emails you receive from Power BI for accessing external information خدمات حلول ذكاء الأعمال في السعودية.
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Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية Power BI is a flexible platform from Microsoft that allows users to connect to and change data to create meaningful and interactive visuals. Power BI Desktop’s familiar and clear UI makes connecting to a data source and producing effective reports simple. You may publish your report to the Power BI Service from inside Power BI Desktop, where it can be shared and viewed in a web browser by the designated parties. Every report must be made public in a workplace. Reports can be used on their own or bundled with other relevant reports on a dashboard.
You can use Power BI to pull data from a variety of sources, including simple Excel files and web services like Microsoft Dataverse. Because Dataverse is used to handle data in both Dynamics 365 and Power Apps, adopting it as your Power BI data source makes sense if you want to link your reports with Power Apps. Another advantage of utilizing Dataverse with Power BI Services In Saudi Arabia is the ability to manipulate data using Power Query, a Power BI Desktop tool.
Security Concern
Security problems are also alleviated by using Dataverse as a data source. The data is kept safe in the cloud and only certain individuals have access to it due to role-based security. It’s simple to connect to Dataverse using Power BI Desktop خدمات حلول ذكاء الأعمال في السعودية. All you need is the Instance URL and maker rights in your Data verse environment.
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Bilytica # 1 تحليلات الأعمال السعودية Perhaps you’re working on a BI, data warehouse, or data platform solution for your company. Perhaps you’ve struck a snag or are halfway there but want assistance with execution. Our Works is here to assist you at every turn. We’ve delivered solutions to over 7,000 clients, and we’ve learned some important lessons along the way that can help you stay on track as you deploy BI initiatives for your company.
Release software in batches so that your users become acclimated to it and you can understand and deliver needs in iterative chunks تحليلات الأعمال السعودية. This will make it easier to talk about what you’re working on and how you’re going to deliver it.
Stakeholders Should Be Involved
If you’re not meeting with important stakeholders monthly or biweekly, you’re not communicating effectively. Communication is vital throughout the process and to your success of Data Warehouse Solutions in Saudi Arabia.
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Bilytica # 1 تحليلات الأعمال السعودية That takes us to the second reason why Action Avalanche is so excellent to run with GKE. Action Avalanche is meant to make the most of the available computing resources. The more CPU power and RAM that can be configured in an Avalanche cluster, the better the performance. While this is true for many systems, when it comes to the cloud, infrastructures may be built in a variety of ways. While the question of which cloud vendor has the most performant infrastructure will change from one investment cycle to the next, Google Cloud users can take advantage of more readily available advanced, high-performance CPU/memory configurations than other platforms, which can be critical in certain business scenarios where speed-to-insight is critical.
The containerized architecture that GKE manages is crucial in this case: containers are essentially agnostic when it comes to the underlying machine hardware, which means that an Action Avalanche containerized deployment may easily take use of new hardware as it becomes available on Google Cloud Data Warehouse Solutions in Saudi Arabia. In contrast, if Avalanche or Snowflake, or any other cloud data warehouse is built without the benefits of containerization, the cluster components will be more firmly bound to the architecture of the VM on which they are operating.
More Benefits To Operating Avalanche On Google Cloud
Is there any additional benefit to Avalanche operating on GKE? Yes, but we’ll go over those in greater detail in Part 2 of this blog. But, for teases, I’ll offer this: Anthos and security. In upcoming conversations concerning Google Cloud and Avalanche, we’ll go into further detail about each تحليلات الأعمال السعودية. For the time being, suffice it to state that Avalanche has an early adapter program on Google that allows you to test drive the software and see how it can fulfil your urgent operational analytical workload demands more efficiently than ever before.
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Bilytica # 1 تحليلات الأعمال السعودية If you’ve made it this far in the post, you’ve probably figured out what data warehousing is all about. To summarize, data warehousing is the process of integrating data from many sources and arranging it in a way that aids tactical and strategic decision-making inside an organization. A data warehouse’s major goal is to present a clear picture of the business at any given moment in time.
Business Intelligence (BI) on the other hand, may be defined as a set of tools and processes for transforming raw data into meaningful patterns to generate useful insights and make better business choices تحليلات الأعمال السعودية. Data preparation, analytics, and visualization are all part of the BI process. Because not all BI tools seek to deliver all three features, you can choose for full-stack solutions to get the benefits of all three.
Data Warehouse Work With Unstructured Data
Because BI systems have limited data preparation capabilities, they require a data warehouse to work with unstructured data. Data Channel, on the other hand, offers full-stack Business Intelligence Analytics & Dashboard Software that delivers end-to-end Data Warehousing services in Saudi Arabia. The word “business intelligence” refers to data analytics as a whole. It’s a method for preparing data, analyzing it, and visualizing it.
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تحليلات الأعمال السعودية in Saudi Arabia in Haql, Afif, Al-Abwa, Farasan, Al-Jaroudiya, Thadig, Al-Thuqbah, Al Wajh, Almardmah, Al-Zilfi, Muzahmiyya, Prince Abdul Aziz Bin Mousaed Economic City, Tharmada’a, Skaka, Um Al-Sahek, Sharurah, Tanomah, Bisha, Dahaban, Al Qunfudhah, Qurayyat, Saudi Arabia, Ha’ir, as Sulayyil, Al Lith, Turaif, Al-Gway’iyyah, Samtah, Wadi Ad-Dawasir, Az Zaimah, Safwa City, Jalajil, Harmah, Mastoorah, Hotat Bani Tamim, Jabal Umm Al Ru’us, Rafha, Qaisumah, Al-Ghat, Hajrah, Al-Hareeq. Excerpt: Jeddah (also spelled Jiddah, Jidda, or Jedda; Arabic: Jidda) is a Saudi Arabian city located on the coast of the Red Sea and is the major urban center of western Saudi Arabia.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية Aside from the primary considerations outlined above, a number of other elements influence the effectiveness of a data warehouse installation. In terms of the three most essential aspects that influence the performance of a warehousing process, the sections above outline the best practices. The data sources, ETL tool, and data warehouse that will be utilized. The following are a few of the most important.
In order to obtain relevant insights from your data, you must document the metadata associated with all of the source tables, staging tables, and derived tables. It is feasible to develop an ETL solution that captures data lineage as well. Some of the most frequently used ETL solutions are also capable of tracing data lineage خدمات حلول ذكاء الأعمال في السعودية.
Bringing Data Together
In the extraction and transformation phases, most ETL solutions may link data. It’s worth considering if you want to use your ETL tool to conduct costly joins or let the database handle it. In the vast majority of circumstances, databases are better suited to handle joining Data Warehouse Solutions in Saudi Arabia.
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خدمات حلول ذكاء الأعمال في السعودية in Saudi Arabia in Haql, Afif, Al-Abwa, Farasan, Al-Jaroudiya, Thadig, Al-Thuqbah, Al Wajh, Almardmah, Al-Zilfi, Muzahmiyya, Prince Abdul Aziz Bin Mousaed Economic City, Tharmada’a, Skaka, Um Al-Sahek, Sharurah, Tanomah, Bisha, Dahaban, Al Qunfudhah, Qurayyat, Saudi Arabia, Ha’ir, as Sulayyil, Al Lith, Turaif, Al-Gway’iyyah, Samtah, Wadi Ad-Dawasir, Az Zaimah, Safwa City, Jalajil, Harmah, Mastoorah, Hotat Bani Tamim, Jabal Umm Al Ru’us, Rafha, Qaisumah, Al-Ghat, Hajrah, Al-Hareeq. Excerpt: Jeddah (also spelled Jiddah, Jidda, or Jedda; Arabic: Jidda) is a Saudi Arabian city located on the coast of the Red Sea and is the major urban center of western Saudi Arabia.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية We designed a BI framework based on our 16 years of BI implementation expertise that allows data to be used for more organized fact-based choices. Planning, plan execution, change analysis, and optimization are the four key components of the system. Let’s take a look at each component in turn to see if the data in a company’s enterprise resource planning (ERP) system is sufficient for gaining meaningful insights, and if not, what alternative data sources to go to if ERP data is insufficient or absent.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية
Trend Analysis And Forecasting In ERP
Examining merely ERP data to spot patterns might lead to erroneous conclusions. For example, if a producer sees no increase in exports to a specific location, he or she may assume that the condition is steady. In actuality, there is a growing demand for the manufacturer’s products in this region. Because the ERP system is uninformed of unmet demand, it does not reflect this trend: the company is operating at full capacity and successfully selling all it produces. If the manufacturer looked at their CRM data, they would see an increase in the number of chances lost due to the ‘No product available’ explanation تحليلات الأعمال السعودية.
We don’t believe an ERP system is sufficient for forecasting. To forecast client demand, for example, data from both internal and external sources is needed, such as comprehensive sales history (ERP and POS systems), a customer’s location and type (CRM), weather conditions, or social media trends (external sources).
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Plan Execution And Performance Analysis In ERP
ERP data may be sufficient for comparing performance to the plan and identifying discrepancies. However, in order to do root cause analysis, a corporation must frequently look beyond ERP data. For example, if a company fails to meet its production targets, the cause might be disruptions in raw material delivery by some of their Tier 1 suppliers. A manufacturer must use SCM (supply chain management) data to obtain these fact خدمات حلول ذكاء الأعمال لسعودية.
Internal benchmarking needs more than just ERP data. For example, a retailer should assess sales figures from a POS system, as well as the sales floor space and number of accessible checkouts, which may be kept in their ERP, to determine their top-selling locations.
Optimization And Change Analysis In ERP
When it comes to business process improvement, we don’t suggest firms relying entirely on ERP data. As an example, consider asset management: ERP is likely to contain only the name of the machinery, the date of purchase, and the price. If a corporation wants to make the most of its machinery and cut costs by doing preventative and even predictive maintenance, it needs to know about equipment usage and maintenance schedules. This information is often saved in a manufacturing execution system (MES) or specific equipment usage software خدمات حلول ذكاء الأعمال لسعودية.
One of the data sources for change analysis may be ERP. Because funds and assets are maintained in an ERP system, doing ROI analysis is acceptable. ERP data, on the other hand, will not assist in measuring the impact of revamping a company’s online shop; instead, data from a content management system and an e-commerce solution (i.e., product listings, photos, descriptions, and visitors’ search and purchase histories) would be necessary.
Bilytica # 1 شركة ذكاء الأعمال السعودية Most business intelligence and analytics clichés are undoubtedly familiar to you by now: data-driven management, finding hidden insights in your data, storytelling, and so on. Everything you’ve heard isn’t necessarily incorrect; the field of business analytics does, after all, offer a plethora of intriguing possibilities that current technologies have barely scratched the surface of. However, it’s critical to think about one critical question: is your business intelligence suitable for complicated data?
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What Causes Data To Be Complicated, And Why Does It Matter?
While no one test can evaluate the degree of intricacy in your data, there are two telling signals that you may be dealing with it:
You have a lot of data: Despite the jargon that surrounds this phrase, terabyte (or petabyte size) data is still one of the most significant difficulties and possibilities in today’s world of business analytics. The possibilities are found in the ability to discover new patterns and correlations among large, seemingly unrelated datasets emanating from internal or external sources. The problem is that this data is typically difficult to analyze, necessitating a large amount of technology and a specialist data science team to arrange it for submission using standard analytics techniques.
You’re working with a variety of different data sources (‘broad data’): Even if you don’t have terabytes or petabytes of data, if your business intelligence relies on several data sources, evaluating this data will almost certainly be challenging because data is kept in a variety of formats, file kinds, and physical locations. When you add in unstructured data, such as textual material, video streams, or machine logs, to analyze alongside traditional structured data, the effort of getting all of these disparate datasets to communicate in the same language becomes much more difficult شركة ذكاء الأعمال السعودية. Even if all of the tables are from the same source, this problem might develop when working with a significant number of them. This is especially true if the tables do not have a clear and consistent structure, which is common when data is “fed” by users rather than automatically.
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شركة ذكاء الأعمال السعودية in Haql, Afif, Al-Abwa, Farasan, Al-Jaroudiya, Thadig, Al-Thuqbah, Al Wajh, Almardmah, Al-Zilfi, Muzahmiyya, Prince Abdul Aziz Bin Mousaed Economic City, Tharmada’a, Skaka, Um Al-Sahek, Sharurah, Tanomah, Bisha, Dahaban, Al Qunfudhah, Qurayyat, Saudi Arabia, Ha’ir, as Sulayyil, Al Lith, Turaif, Al-Gway’iyyah, Samtah, Wadi Ad-Dawasir, Az Zaimah, Safwa City, Jalajil, Harmah, Mastoorah, Hotat Bani Tamim, Jabal Umm Al Ru’us, Rafha, Qaisumah, Al-Ghat, Hajrah, Al-Hareeq. Excerpt: Jeddah (also spelled Jiddah, Jidda, or Jedda; Arabic: Jidda) is a Saudi Arabian city located on the coast of the Red Sea and is the major urban center of western Saudi Arabia.
Three Reasons To Be Concerned
If you’re currently using a business intelligence system whether you built it yourself or bought it from one of the many business intelligence software vendors and you’re not working with complex data, now is a good time to consider whether your system will be able to handle the increasingly difficult scenarios it will face in the future. The following are three things to keep an eye out for:
Performance
In the last few decades, شركة ذكاء الأعمال السعودية technology has advanced significantly, but not at the same rate as our capacity to collect data. Many existing solutions still rely on antiquated OLAP or in-memory technology, which slows down dramatically when dealing with huge datasets or necessitates a vast hardware infrastructure to give an adequate performance.
This problem happens not just when your data is initially very huge, but also when it changes regularly as new sources are added or current ones are updated. It will be difficult to observe findings promptly if the system takes days to ‘assimilate’ fresh sources into the analytical repository.
Ability To Collaborate With A Variety Of Sources
As previously said, the complexity of your data is determined not only by its quantity but also by the number and kind of sources with which you are dealing خدمات البيانات الضخمة في المملكة العربية السعودية. Here are some questions to ask to see if your BI system is up to the task of working with different data:
Is it possible to connect to the data sources you’re using via API or built-in native connectors?
Is data preparation and modeling included, or will you need to purchase extra software?
Is it possible to examine the data in whatever direction you choose and on an ad hoc basis, or are you restricted to pre-defined queries or data fields that must be prepared?
Extensibility
The last question you should consider is if your current platform will be enough as your demands expand. You may only be delivering monthly reports to a few key stakeholders right now, but given the rapid evolution of the data analysis field, you should consider the possibility that you’ll want to do much more shortly: real-time analysis, predictive modeling, customer-facing analytics the list is endless شركة ذكاء الأعمال السعودية. Is your system adaptable enough to handle this? Is there a well-documented API that your developers can use to build on? Will it be able to satisfy your scalability and security requirements?
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية These visual suggestions can help you enhance the presentation and produce a more straightforward and professional-looking user interface, regardless of whether you’re designing a dashboard or a static report. Putting a box around all of the imagery is a typical practice. Solid borders might make your design appear inflexible and crowded (like the canvas is sliced into different pieces). While the goal of separating or grouping things should be kept, the methods should be changed significantly.
While the interface appears to be tidy and well-organized, the black borders on a white backdrop are too prominent, capturing users’ attention at first sight. Remember that the user’s visual attention span is limited, and it’s your job to direct their gaze to the appropriate visual element. Because the boundaries aren’t the main emphasis of this report, they shouldn’t stand out too much. We may utilize space and slight color contrast instead of ‘lines’ to divide and group components.
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Only Use A Few Contrasting Components
The contrast or difference between items not only adds interest to your dashboard but also helps to create a visual hierarchy for your interface. The information shown in an interface is organized and prioritized using a visual hierarchy خدمات حلول ذكاء الأعمال في السعودية. As a result, before using any visual characteristic, consider what information is more significant than others. In the context of a chart, the most essential element is the chart title, followed by the data label, legend, axis title, axis label, and gridline. These texts should have various properties that allow users to focus on the data label without being distracted by the axis label or gridlines.
The first criterion is that components of the same kind should have the same attributes (for example, all chart titles and KPI titles should have the same font size and font-weight), and there should be no more than a few groups with varied qualities. The second rule is to emphasize the contrast: emphasize the differences between groups to help consumers notice them more clearly. For example, we use larger, bolder types and brighter colors to build a visual hierarchy, whereas we employ much more subtle hues for less significant parts.
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Only Use Distinct Colors When They Serve A Specific Purpose
A hue is a distinct color shade to which we give a name, such as green, red, blue, or orange. On an interface, the basic rule is to employ no more than 5 different colors and as few as feasible. Each pie chart below, for example, employs the color turquoise in varying degrees of luminosity. This color palette is monochromatic. This color scheme is ideal for data visualization since it provides clarity without the need for multiple colors. Furthermore, because the variation in luminance can be readily handled by black ink, it will appear nice when printed in grayscale.
While all three pie charts employ a monochromatic pattern, the colors used in each are distinct. Consider what these colors mean for the chart: they reflect distinct Store Name, Age Group, and Class Name values خدمات مستودع البيانات في المملكة العربية السعودية. Using a distinct color for each chart is unnecessary because we already have the chart names and data labels. As a result, we may utilize the same color scheme for all pie charts on the dashboard, reducing the number of various colors.
The Function Of Each And Every Visual Element On Your Canvas
Consider the function that each aspect plays in delivering information while writing the final evaluation. Whether it’s text, lines, borders, shadows, or color, it must aid the user in focusing on the relevant stuff or gaining access to information more quickly. There should be no decorative elements in the room. A ‘good-looking’ report or dashboard is one that effectively employs visual components to convey business insights most clearly and succinctly possible خدمات حلول ذكاء الأعمال في السعودية. Any component that does not assist you in achieving your goal is noise and should be eliminated..
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Different Features Highlights Of Tableau Services In Saudi Arabia
Tableau Prep Allows You To Connect To External Databases
Tableau has announced a feature that allows users to write prepared data straight into a relational database, which was a popular request. Writing to relational databases is now available with the current version, and there is a plan to add more databases in the future. Oracle, PostgreSQL, MySQL, Teradata, Snowflake, and Amazon Redshift are among the databases available. Writing Big Data Services in Saudi Arabia to database tables can assist users’ companies strengthen their monitoring, auditing, governance, and access restrictions. Tableau now has a new capability that allows data to be imported progressively into database tables. This reduces data migration and improves the flow efficiency in Tableau.
The method of writing to a database table from Tableau Services in Saudi Arabia Prep is rather simple. Under ‘Save Output to,’ users can choose ‘Database table.’ The details necessary to establish the connection must be given based on the database selected. Depending on the choice selected when the flow is executed, Tableau builds a table or appends the data to an existing table. The data can also be updated by scheduling the flow.
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Grant Permission To Use The Sign-In Feature
When users log in to their Tableau Online or Tableau Services in Saudi Arabia Server accounts for the first time, the Grant License function allows site managers to offer them a site role. Roles such as viewer, explorer, and the creator will be assigned based on the user chosen by the admin. This eliminates the need to reply to licensing requests manually, making the process of providing licenses easier. Depending on the demand, the license can be granted to people, teams, departments, or the whole company. Because the licenses granted by this feature are only during their initial Sign In, this helps to avoid issuing licenses to inactive users.
Improvements To SAP Integration
A new feature allows users to connect to table functions for SAP HANA Connectors as part of these enhancements. Tableau has obtained formal SAP certification, and they’ve published whitepapers on best practices and upgrades for using SAP products with Tableau Services in Saudi Arabia. With this new functionality, you may achieve better integration. The whitepaper from Tableau, which can be accessed here, details the factors and use of the proper solution for S/4HANA and BW/4HANA. When transactional data is transferred into an environment tailored for the necessary amount of processing, Tableau can deliver insights for your organization.
Users that have SAP HANA data to evaluate may now make greater use of it. Aside from these highlights, Tableau 2020.3 has a slew of additional intriguing improvements. Check out Tableau’s release notes for additional information on these features. In future blogs, we’ll go over a few more fascinating features. Please contact us if you have any business-related questions.
