BI #1 Data Warehousing Services in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA Imagine you’re in a meeting with a potential investor who asks you for particular facts about your business to help them decide whether or not to invest. Perhaps they’ll ask for sales figures, the annual growth rate per sales representative, or the marketing channels with the best return on investment.
Could you answer those questions at the same meeting, or would you have to go to your IT department for answers? How many people would need to participate? How long would it take to obtain this information?
Finding this type of data becomes increasingly crucial and difficult as your company grows. A data warehouse is one solution to challenges like this. A data warehouse is an analytical database that acts as your organization’s single source of truth for actionable data and insights.
BI #1 Data Warehousing Services in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA

When do you require the services of a data warehouse?
A data warehouse becomes more important as your company develops larger, but even small businesses with a lot of data can benefit from one. The following are some examples of typical use cases:
- Bringing together data from many sources
- Data display and accessibility are being simplified.
- Making resourcing decisions based on estimates
- These scenarios are frequent in many firms, but establishing a data warehouse is a significant expenditure. How do you recognize when something is worthwhile?
Here are a few scenarios in which data warehouse solutions in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA may be required sooner rather than later:
1. You’ll be querying a variety of data sources.
How do you deal with queries that require data from a variety of internal and third-party sources? For example, some customer data may be stored in your application database, while other data may be stored on a cloud service such as Salesforce or HubSpot. Each data source has its own set of information.
A solid Data Warehousing Services in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA will extract, transform, and load (ETL) your data to assist you aggregate data from several sources into a single repository, allowing you to examine relevant summaries or projections that no single system could deliver. This is where technologies like Panoply come in handy, as they can pull data from numerous sources and eliminate the need for a separate ETL tool.
2. You must change your data.
In a perfect world, all of the data you need has the same structure, no matter where it came from. We have legacy systems, several operating systems, and various programming languages in the real world, all of which treat common concepts like dates, time zones, money, and arrays differently.
This is where the letter “T” in ETL comes into play. You can change and save data in a common format as you extract data from each source. Depending on how you plan to use the data, you can standardize data types, delete damaged data, and even apply custom business rules.
3. You have a large amount of data to manage.
The more data you have, the more expensive and demanding the data retrieval processes become. On most modern machines, executing inefficient searches on 5 gigabytes of data isn’t a significant deal, but doing ineffective queries on 5 petabytes of data will be problematic.
There isn’t a magic line that indicates you need a data warehouse, but if a database query can’t be executed or common queries must be run in batches, you should start looking into it. Although managing more data is inherently difficult, having Data Warehousing Services in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA to centralize and optimize it will make a significant difference.
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4. You’ll need dashboards and reports tailored to certain users or teams.
As your business expands, several stakeholders will require access to your data for various reasons. Client service, for example, maybe concerned with consumption trends, but sales may be more concerned with customer lifetime value and upgrade patterns. The acquisition source may be more important to the marketing team, whilst the response time for each client may be more important to the technical team.
You’re not going to write hundreds of queries to account for each use case when searching your data is a tough manual procedure, therefore you’ll probably try to run a single report that covers everything. This is clumsy, slow, and prone to errors.
For different stakeholders, data warehouse solutions in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA might provide distinct perspectives or dashboards. Each of these searches can be instantaneous and personalized to the requesting user because data can be copied and flattened in a variety of ways.
5. High-availability (HA) systems are used to store your data.
Although uptime is always crucial, high availability is a contractual or legal requirement in specific applications. Executing a long-running query that requires a database lock, for example, is a no-no if your primary application database is crucial to your company operations.
Some businesses get around this by processing requests late at night or during timed outages, although this is inconvenient. These delays imply that your business teams will be unable to obtain critical data independently, putting you in danger if your competitors are able to adapt to developments faster than you.
6. You perform a lot of sophisticated queries on a regular basis.
Consider the types of reports you generate on a regular basis. For example, do you need to know how many licenses have been sold since the quarter began? Or who has been your most frequent visitor? Or which are the most vulnerable to churn? How many databases and tables will you need to access this data?
Complex SQL queries aggregated by date or customer ID are frequently used to conduct queries like the ones above. While these fields can be indexed in a SQL database, indexes have limitations and become considerably more challenging when data is dispersed over numerous shards. While having a SQL wizard on your team can be beneficial, relying on a small group of experts to adjust and maintain these queries is a major bottleneck.
This issue is also present in NoSQL databases, where table scans are used as a fallback when an index is unavailable. Re-indexing huge collections are costly, and as your collection grows, you’ll need more storage space. One of the key benefits of having a data warehouse is that many frequent queries will be easier to run since the data model in your warehouse can be tuned for the type of data you need to collect. Without altering your production data models or over-indexing your data, you can flatten or replicate data as needed.
7. You must use data mining or machine learning to analyze your information.
Finally, what happens when dashboards and reports are insufficient for detecting trends or complex multivariate relationships?
Machine learning analysis may help you learn a lot more about your data, such as forecasting purchase habits, sending targeted offers, and creating retention models, among other things. The issue is that extracting usable data like this nearly usually necessitates the deployment of a dedicated Data Warehousing Services in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA to consolidate everything.
Once you’ve built a warehouse, you can utilize tools like Weka or RapidMiner to mine your data for insights. After you’ve constructed the appropriate models, you may use them to react quickly to changes or deviations from the norm.
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