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?
Bilytica # 1 شركة ذكاء الأعمال السعودية
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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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 Most firms’ budgeting and forecasting processes are lengthy and complex, and they take place at least once a year. Companies are attempting to do it more often in order to increase accuracy, with the goal of implementing a method for continuous planning, rolling forecasts, and driver-based planning in the future.
Budgeting and forecasting are unlike any other company procedure since they are proactive. Accounting, inventory monitoring, invoicing, shipping, and other business procedures are all based on real-world occurrences from the past and present.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية
Budgets And Predictions That Are Dynamic
Uploading an Excel document with the most recent version of the budget is a step away from efficiency as firms move toward rolling budgets and projections خدمات التابلوه في السعودية. A static dashboard displaying a spreadsheet report will become obsolete as soon as it is made available to its users. By then, such plans are likely to have been modified in the spreadsheet to reflect the actual situation of the company. As a result, a dynamic link to the spreadsheets must be built.
What does this signify for business intelligence? Historical data may be captured using BI technologies, particularly user-facing ones like dashboards and data visualization tools. Tableau, Qlik, Power BI, and other tools provide comprehensive capabilities that enable direct access to systems containing transactional data and the creation of spectacular dashboards that efficiently extract insights from their users. Organizations, on the other hand, struggle to integrate and portray plans and predictions in end-user BI solutions owing to their nature خدمات حلول ذكاء الأعمال السعودية.
خدمات حلول ذكاء الأعمال in Saudi Arabia in Mecca, Medina, Riyadh, Khamis Mushait, Yanbu, Jeddah, Dammam, Unaizah, Uqair, Ha’il, Ta if, Al Bahah, Dhahran, King Abdullah Economic City, Najran, Diriyah, Qatif, Khafji, Jubail, Abqaiq, List of Cities and Towns in Saudi Arabia, Ras Tanura, Turubah, Jazan Economic City, Knowledge Economic City, Medina, Khobar, Abha, Tabuk, Saudi Arabia,
Call us at +966547315697 or contact sales@bilytica.com for demo. خدمات حلول ذكاء الأعمال in Jeddah Riyadh Khobar Saudi Arabia KSA team will be happy to serve you.
We also provide خدمات حلول ذكاء الأعمال in Saudi Arabia services solutions company in Hafar Al-Batin, Udhailiyah, Al-Awamiyah, Hofuf, Hautat Sudair, Buraidah, Tayma, Duba, ‘uyayna, Saihat, Al-Kharj, Al-ula, Jizan, Rumailah, Ar Rass, Arar, Shaybah, Al Majma’ah, Rabigh, Dhurma, Haradh, List of Saudi Cities by Gdp Per Capita, Badr, Sudair Industrial City, Baljurashi, Shaqraa, Al-Khutt, Habala, Ad Dawadimi, Dawadmi, Layla,
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Excel Collaboration
Let’s face it: business users, particularly finance experts, like Excel. They’ve honed their spreadsheet talents, creating complicated financial models for their companies and using their abilities throughout their careers. The system must also address the need for several plan contributors to access and enter plan data at the same time in order to form a dynamic relationship with a living spreadsheet.
When it comes to plans and projections, teamwork entails more than just co-authoring. A financial planning process involves numerous personnel, each of whom is accountable for a different aspect of the organization. These individuals operate with their own spreadsheets, which must be consolidated into a master spreadsheet خدمات حلول ذكاء الأعمال في السعودية. As a result, a successful solution must be able to give numerous users access to a centralized spreadsheet that they can access using their familiar Excel interface and have the data they input reflect immediately in their BI dashboards. When this problem is solved, there will be no need for several copies of the same spreadsheet.
Actuals, Plans And Projections Are Mixed Together
Half the battle is putting together a dashboard for planning and projections. Planning and forecasting data must be reviewed with actual data in order for users to gain relevant insights. Both data sets must be combined to give end-users the freedom and flexibility to generate ad-hoc data visualizations that show real-time transactional data alongside plans and projections. One of my specialties is integrating plans and predictions into BI initiatives. We can construct Metrics Engines for 3rd party BI systems to handle this situation and more, including custom formula computations, automated aggregation, integration, consolidation, and more, thanks to our technology خدمات حلول ذكاء الأعمال في السعودية. Check out our Metrics Engine for BI if you’re working on a BI project and you’re running into some limits with your dashboard or data visualization tool.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية We’ll go through the fundamentals of supply chain analytics, the advantages of a contemporary analytics strategy, and how to get started in this post.
“No one likes to talk about pipes, but everyone wants a hot shower,” we say, referring to our work with data as the plumbing of the analytics industry. Professionals in any infrastructure capacity share this sentiment. We hear it the most from IT and Supply Chain executives, whose phones only ring when something goes wrong.
However, in times of crisis, such as the one we’re having with COVID-19, the need for a well-functioning supply chain becomes evident. This article on supply chain analytics is for you if you’re having trouble understanding demand, tracking rapidly changing inventory, developing up-to-date replenishment plans, or dreaming of becoming best-in-class at what you do.
Bilytica # 1 خدمات حلول ذكاء الأعمال في السعودية
Different Key Benefits Of Modernizing Supply Chain
Accurate insight into demand shifts is one of the most difficult difficulties that supply networks encounter. Forecasting demand vs existing supply helps you to simplify purchasing procedures and ensure that you have the proper flow of vendor replenishment incoming. This also entails finding and maintaining the proper raw material ratios to fulfill finished goods orders for manufacturing companies قوة ثنائية في المملكة العربية السعودية.
While the first-in-first-out (FIFO) philosophy is prevalent, when orders unexpectedly increase, sales inventory allocation to the correct clients varies as well. You can indicate probable substitutes in your completed goods or batch orders with real-time visibility into modifications. When the actual items being requested are in low supply or delayed, high-priority orders might be filled and accelerated.
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Call us at +966547315697 or contact sales@bilytica.com for demo. خدمات حلول ذكاء الأعمال in Jeddah Riyadh Khobar Saudi Arabia KSA team will be happy to serve you.
We also provide خدمات حلول ذكاء الأعمال in Saudi Arabia services solutions company in Hafar Al-Batin, Udhailiyah, Al-Awamiyah, Hofuf, Hautat Sudair, Buraidah, Tayma, Duba, ‘uyayna, Saihat, Al-Kharj, Al-ula, Jizan, Rumailah, Ar Rass, Arar, Shaybah, Al Majma’ah, Rabigh, Dhurma, Haradh, List of Saudi Cities by Gdp Per Capita, Badr, Sudair Industrial City, Baljurashi, Shaqraa, Al-Khutt, Habala, Ad Dawadimi, Dawadmi, Layla,
خدمات حلول ذكاء الأعمال 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.
It’s not enough to have access to data once; it has to be kept up-to-date and automatically updated, with insight into escalations خدمات حلول ذكاء الأعمال في السعودية. A current supply analytics approach is fully automated, which means all relevant data flows from source systems into an analytics database, where it is processed and shown in a business intelligence dashboard. Our strategy incorporates KPI notifications so that individuals may see and prioritize the most important concerns first.
What To Look For When Analyzing In Supply Chains?
Supply chain executives in any business are looking for the following from their supply chain analytics:
To observe and comprehend demand patterns, as well as open consumer orders
To see and comprehend current inventory and open order allocations concerning relation to production teams’ and/or suppliers’ replenishment plans.
To construct world-class forecasting, alerting, and supply chain management systems, combine the aforementioned خدمات حلول ذكاء الأعمال في السعودية.
To do so, you’ll need a data strategy that comprises the following elements:
A data value chain that is automated
As you may be aware, the least practical interval for making an impact is daily refresh. Hourly access to new knowledge is a better starting point. Your data should flow on time from source systems to an analytical database, be modeled for analytics on time, and be picked up on time by dashboards and business intelligence platforms.
What’s The Best Way To Get Started?
To develop a contemporary supply chain analytics methodology, you’ll need a few critical pieces of information.
A data staging platform that contains the following features:
Database
The pipeline that automatically transports data from your tool into the database.
