In the digital age, data is the new gold. Are you maximizing the potential of your data to drive business growth? At Ancient, we're here to help you unlock the true value of your data through Big Data and Analytics services.
Big Data Analytics allows you to base your decisions on hard data and eliminate guesswork, resulting in more accurate results and less risk.
By better understanding your customers and their needs through data analysis, you can find opportunities to develop new products or services to meet unmet demands.
We help companies implement big data solutions, such as high-performance database management systems, real-time data processing platforms and visualization tools.
We offer data integration services to help companies consolidate and unify different data sources into a centralized warehouse. This facilitates data access and analysis, enabling more informed decision making.
Our team of analytics experts can help companies get the most out of their data. We perform advanced analytics to identify hidden patterns, trends and relationships in your data.
We display the data in the most recognizable and easy to understand formats, using various tools such as panels, visual diagrams, among others. This step considerably speeds up the decision making process.
With Ancient, the transition to the cloud will be efficient and seamless. Our team of cloud experts will configure the customer's data warehouse to migrate corporate data in the shortest possible time and with minimal overhead.
We use artificial intelligence and graphical representation to organize and decipher patterns and big data from massive volumes of information. Even when faced with a large amount of data, our team will gain invaluable insights.
Don't get lost in the data. Companies have complex needs given the amount of data they can collect. But this also means they have enormous potential. Our team can tackle any challenge so you can get the most out of your data.
Using the best data management tools, our team can provide DataOps services that handle all stages of data, from collection to visualization.
We can guide you through the best processes for collecting and analyzing data in the most effective way. Our expert IT consultants have worked with all types of companies and can show you proven best practices.
We offer data analysis solutions for companies of various sizes, from startups backed by venture capital to small and medium-sized companies, to large corporations. Below are the main fields of expertise in which Ancient has accumulated experience over years of close collaboration with clients around the world.
We use this tool to boost our big data projects and optimize the use of our clients' data. Data science plays a key role in improving data analytics, allowing us to achieve our business objectives more effectively.
Ancient develops applications that improve data processing and gain valuable insights that drive an entity's efficiency and performance.
We create Business Intelligence and data analysis tools that take data management to the next level, allowing companies to forecast trends.
We have a team of highly trained experts in the field of big data and data analytics. Our professionals have the tools and skills needed to make the most of data and provide valuable and useful information to our clients.
It can be difficult to find qualified and experienced big data experts, especially in areas remote from large cities. Therefore, choosing to hire a remote developer specialized in big data for a specific project can be a very beneficial alternative.
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Our certifications are a promise of excellence, ensuring each solution meets the highest standards of quality and innovation.
Data strategy services help companies use data effectively and wisely, while maintaining regulatory compliance.
To do this, a big data company develops a plan specific to the customer's needs on how to collect, store and analyze data.
All so that data is useful in decision-making. In the strategy analysis, the best data management tools and methods are identified for each case and implemented.
Data science services study complex data to obtain information. They use statistics and machine learning to find trends. These experts check the accuracy of the data and ensure that it is correct and useful. They then analyze them with special tools. It is another category within big data and analytics services, but more specialized.
There are three main types of big data. Here's a summary:
Structured data: Structured data is information that can be easily collected, processed and analyzed. For example, names, addresses, and telephone numbers. This data is simple and structured. This data gives context to each user.
Unstructured data: This type of data is more difficult to process. It includes images, videos and other types of text. Since they do not have a clear structure, they must undergo special analysis to obtain accurate information. Customer reviews and social media posts could be considered unstructured data.
Semi-structured data: Semi-structured data is the middle ground between the two above. They have a certain level of organization, but they are not as strict as structured data. For example, JSON and XML files.
Improving decision-making
Big data consulting improves decision-making. Consultants analyze large data sets to discover trends and perspectives. This data-driven approach allows for better business decisions. Companies can use this information to plan strategies and achieve objectives.
Efficiency and cost reduction
Consulting services identify processes that can be optimized through data analysis. This optimization leads to faster and more efficient operations, saving time and resources and increasing overall productivity.
In addition, by analyzing financial data and operating processes, consultants find ways to reduce expenses.
Better knowledge of the customer
Big data consultants analyze customer behavior and preferences to help companies adapt their products and marketing strategies. Understanding customer needs also drives innovation, as companies can develop new products or services that meet market demand with data to support them.
Risk Management
Data can also uncover hidden risks. Big data consulting can identify and evaluate these potential risks. For example, regulatory compliance isn't always easy, and violating them can be harmful.
Consultants ensure compliance with regulations, reducing the risk of any sanction.
