Data analysis archivos - Itera Process https://www.iteraprocess.com/en/tag/data-analysis/ Thu, 20 Feb 2025 16:41:11 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://www.iteraprocess.com/wp-content/uploads/2025/01/cropped-Logo-Itera-e-fondo-azul-32x32.png Data analysis archivos - Itera Process https://www.iteraprocess.com/en/tag/data-analysis/ 32 32 AWS Region in Mexico: the cloud is now tricolor https://www.iteraprocess.com/en/2025/01/14/aws-region-in-mexico-the-cloud-is-now-tricolor/ https://www.iteraprocess.com/en/2025/01/14/aws-region-in-mexico-the-cloud-is-now-tricolor/#respond Tue, 14 Jan 2025 14:04:08 +0000 https://www.iteraprocess.com/2025/01/14/aws-region-in-mexico-the-cloud-is-now-tricolor/ Bienvenido a nuestro blog

The cloud is now tricolor! Learn how the new AWS Region in Mexico will revolutionize digital transformation with on-premises infrastructure, reducing latency and removing regulatory barriers for Mexican companies.

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AWS Mexico Region: The Cloud Is Now Tricolor

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AWS Region in Mexico: the cloud is now tricolor

It’s official: the AWS cloud is painted in tricolor with its new region in Mexico.

What does this news mean for Mexican companies?

Starting in 2025, innovation will accelerate with the opening of the AWS region in Mexico, breaking historical paradigms in technology and digital transformation, since, in a country known for its strict regulations in the financial sector – where banks, insurers and fintechs must guarantee the residency of productive data – this new region eliminates barriers that previously limited digital transformation.

Now, however, the transformation will have no limits.

What changes with the AWS Region in Mexico?

Previously, many companies faced operational challenges by relying on regions in other countries, making it difficult to quickly implement solutions such as:

  • Artificial intelligence (AI) and generative AI.
  • Data analytics.
  • Cloud migrations.
  • Disaster Recovery (DRP).
  • Scalable application development.

Now, Mexican companies will be able to adopt these technologies without regulatory restrictions, achieving:

  • Better experiences for your customers through faster, more efficient apps.
  • Development of innovative solutions in key sectors such as finance.
  • Competitive advantage by complying with data residency regulations.
  • Assurance that data grows and develops in Mexico

A paradigm shift

Previously, many companies preferred to keep their data, applications, and services hosted on-premises, but relied on on-premise infrastructures that limited their ability to innovate. With this region, that paradigm is broken to detonate:

  • The accelerated growth of Mexican companies.
  • The development of scalable infrastructures to reach more customers.
  • Improving experiences across all industries.
  • The exponential digital transformation in Mexico.

Significant impacts in Mexico and LATAM

The opening of this region also benefits all of Latin America, since, by reducing latency, companies that previously depended on regions such as Virginia will now be able to process requests faster from Querétaro, improving the performance of applications and services in real time.

In addition, the AWS region in Mexico is 100% built and operated by AWS, without outsourcing maintenance, administration or management activities. This ensures the security, performance, and reliability that businesses need for their operations.

Mexico as a global technology hub

With this move, AWS puts Mexico on high, as this region reinforces AWS’s confidence in our country while positioning it as a key player in global technology. Not only because of the investment and the sources of employment it will generate, but also because this launch shows the impact that Mexican companies have on the global arena and reaffirms the importance of international investments in our territory.

With the AWS region in Mexico, the possibilities for digital transformation are endless. The question is no longer “why move to the cloud?”, but “how far can we go from here?”. The future begins now.

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Success stories

We help GS1 migrate its critical systems to the cloud.

Success stories

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La entrada AWS Region in Mexico: the cloud is now tricolor se publicó primero en Itera Process.

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Business Intelligence Fundamentals: How to Start a Data Analytics Project for Your Organization https://www.iteraprocess.com/en/2024/03/12/business-intelligence-fundamentals-how-to-start-a-data-analytics-project-for-your-organization/ https://www.iteraprocess.com/en/2024/03/12/business-intelligence-fundamentals-how-to-start-a-data-analytics-project-for-your-organization/#respond Tue, 12 Mar 2024 20:51:25 +0000 https://www.iteraprocess.com/2024/03/12/business-intelligence-fundamentals-how-to-start-a-data-analytics-project-for-your-organization/ Bienvenido a nuestro blog

Learn how to start a data analytics project to boost your business success. Harness the power of Business Intelligence and turn data into competitive advantages.

La entrada Business Intelligence Fundamentals: How to Start a Data Analytics Project for Your Organization se publicó primero en Itera Process.

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Business Intelligence Fundamentals: How to Start a Data Analytics Project for Your Organization

The Basics of Business Intelligence: How to Start a Data Analytics Project for Your Organization

In competitive business dynamics, informed decision-making appears as the fundamental axis that drives the success of any organization. While 50% of companies worldwide are already data driven, only 43% are monetizing their data and insights with products and services.

By making data-driven decisions, these organizations realize benefits such as*:

  • 70% more earnings per employee
  • 245% higher return on fixed assets
  • 22% more profitability

Knowing these percentages, an obligatory question arises: is your company already making its data profitable?

The absence of a robust data analytics strategy can place businesses in an uncomfortable maze of uncertainty and wrong decisions. From oversized purchases to unfinished projects, the repercussions of operating without a clear vision backed by a data-driven model can be costly.

First Things First: Avoiding the Wrong Route

All current, past, and future decisions in an organization are based on data that is naturally obtained from experience, systems, documents, and even external sources such as news, articles, or colleagues. However, making decisions in this way becomes imprecise, causing:

  • Excessive purchase of raw materials or, on the contrary, not enough.
  • Merchandise at the point of sale that is not in accordance with the market.
  • Unattainable business goals.
  • Launching new products that are not successful.
  • Loss of customers.
  • Stagnation in the market.
  • Loss of business opportunities.
  • Lack of knowledge of customer behavior.
  • Ineffective marketing campaigns.
  • Unfinished projects.

The Power of Data Driven

Data is currently the most powerful tool in business and, in that sense, the most valuable thing in the entire organization. Precisely to exploit the gold mine represented by the data, it is important to know that they are concentrated in:

  • ERP
  • CRM
  • Accounting systems
  • Databases
  • Social Media
  • Documentation
  • Contracts
  • Financial results
  • Imagery
  • Audio
  • Excel files

Data Analysis: 360 Strategy

Data analytics refers to the process of understanding, analyzing, cleaning, cross-referencing the right information to know, improve and make sound decisions in all areas of business. Any business activity generates data and, therefore, any tool is a source of information. This is how data analytics helps define the business responses that are of interest to your organization, that is, its objectives in a business intelligence context.

More than a technological tool, we are talking about a complete transformation of the business. A different way of operating that will have an impressively favorable impact on the organization, so first of all you must define what you want to know about your business. Ask yourself what decisions you’d like to make and how they would impact the business.

The objectives will be SMART:

  • Specific
  • Measurable
  • Attainable
  • Relevant
  • In Time

The use cases in which data analysis will be applied must also be defined, which can be business, technology or organizational. To do this, all areas (such as purchasing, finance, marketing, sales, manufacturing) must be involved to know what is currently being done and why not go back to evaluate how the results of the decisions that have been made without data analysis have been and what it would be like if we obtained accurate answers about customers, purchasing, production, etc. improvements, etc.

Towards Data Driven: Knowing the Sources of Information

The inventory must be known without discrimination of all the places that yield or safeguard data, all sources are important because answers can be obtained from all of them. For this reason, the exceptional thing about analytics is not the data itself, it is what you do with it.

In addition, it is necessary to know what information is in each of the places, how often it changes, how sensitive the information is, what it is used for, how the sources relate to each other and who manipulates that information.

Understanding Current Data Governance as Part of Business Intelligence

In relation to the previous point, where we asked who manipulates the information, this provides visibility about how reliable it is. It is also necessary to know who has access to it, what they use it for and how they manipulate it, since the quality of the reports that are currently issued depends to a large extent on this.

The less information is touched by a human, the better, since in order to do a data analysis we must have controls, policies and guidelines that protect the integrity of the information.

There is no point in extracting, transforming and loading processes, if the information can be changed or touched by a human without prior control or notification.

This is possibly where many companies stop, because current and future data governance can generate millions in losses if neglected. And this negative impact on the business will be reflected not only in data analysis, but also in information security.

Therefore, the root of data analysis is defined based on technological tools that control and preserve the integrity of the data, as well as the personnel who can define and monitor these policies or principles.

Data Analytics to Drive Business Intelligence

As a last point and to promote the approval of a data analysis project, the entire organization must define its analytical advantage. By understanding a unique benefit in this project, you will make it executable as it is not only about getting answers or KPIs, but about boosting your company with the advantage that can only be achieved through data analysis.

See You in the Cloud!

On the journey to a data-driven enterprise, the key lies in understanding that data is the driving force behind every action, every goal achieved, and every competitive advantage. Data analytics isn’t simply a technological tool; It’s a complete transformation that redefines the way organizations operate and thrive in a business intelligence environment.

At Itera, through a comprehensive approach to cloud data analytics solutions, we not only address the inherent problem of the lack of accurate data, but also unlock unprecedented potential.

From identifying sources of information to establishing robust data governance, our specialists guide organizations to the pinnacle of business intelligence, delivering an analytical advantage that not only improves decision-making, but also translates into tangible economic results.

We invite organizations to discover the transformative power of data analytics and define a future where data-driven is the compass that leads to the sustainable success that business intelligence represents.

Contact us for more information!

*Source: https://www.capgemini.com/wp-content/uploads/2020/11/Data-powered-enterprise-report.pdf

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La entrada Business Intelligence Fundamentals: How to Start a Data Analytics Project for Your Organization se publicó primero en Itera Process.

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