Big Data Analytics Services

Create new value from the data you’re already collecting.

Big Data Analytics Services

What are big data analytics services?

Benefits

Our approach

CBTS solutions

Big data analytics solutions that put your data to work

Managing and storing data may be challenging for clients. Even small companies can have multiple data streams from various platforms, apps, and Internet of Things (IoT) devices.

However, with the right tools in place, organizations can consolidate, analyze, and prioritize their data to improve operations, enhance productivity, and increase profitability through more informed decision-making.

CBTS adopts AWS Data Lake solution

Meeting the pace of big data growth

To manage the influx of data while navigating modern technologies and tools, companies must consider hiring skilled professionals, such as data scientists, analysts, and engineers. However, the rapid evolution of data tools often outpaces professional development and many organizations are left struggling to bridge the gap.

CBTS has extensive experience consolidating data from applications, disparate platforms, and websites into cloud-based storage solutions, such as data lakes. The deployment process is swift and highly customized, leading to a faster value realization.

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BIG DATA ANALYTICS

What are big data analytics?

Managing data across disparate platforms can be difficult, especially when saved in a format only specific software can read. This can cause issues for on-premises data storage systems, which can’t always keep up with the amount of generated data.

Cloud-based data lakes emerged as a solution offering a way to manage and store data across multiple platforms in a more efficient way. Users manage their data to create business intelligence reports, track analytics, and generate custom dashboards accessible from anywhere. The consolidated data can be analyzed and manipulated using AI and machine learning

BENEFITS

Benefits of big data analytics

Cloud-based data lake solutions

Remove cost of expanding or upgrading data resources and management.

Grow with your business

Massive scale and growth of unstructured data.

Value

Data-driven business decisions to accelerate growth and gain a competitive edge.

Accessible anywhere

Real-time demands for usable information and insights.

More profit

Increased revenue and customer satisfaction.

Variety

Variable data in different formats, including e-mail, social media, and video.

New opportunity

Data that unlocks new business opportunities.

%

of large companies reported that they are achieving returns on their data and AI investments.

Sloan Review

OUR APPROACH

Why CBTS?

Data lakes provide a future-proof solution that can scale to almost infinite levels while keeping costs low, thanks to the power of the Cloud. Your investment will continue to provide value as cloud tools and machine learning advance.

CBTS is the go-to expert in deploying data lakes. Our engineers are experienced in leveraging storage best practices to optimize your data, ensure your data is always encrypted, and maximize the speed of search and retrieval. Trust us to make your data lake a valuable asset for years.

“By centralizing data in one place, clients can gain insights and make better decisions. But it’s important to partner with someone who can ensure proper governance to avoid potential security and privacy risks.”

-Brian Quinn, Senior Vice President of Business and Product Development

CBTS SOLUTIONS

CBTS big data analytics solutions

Managed cloud-based data lakes allow secure access and scalability.

Using data lake architecture in the Cloud eliminates the drawbacks of storing data on-premises. Using a cloud-based system lets clients save on the expenses of constantly expanding or upgrading data resources and management. With data lake storage, companies can scale elastically, paying only for the storage and services they require in a pay-as-you-go approach.

Assess

Assess data sources, volume, and variety to determine the suitability of a data lake for your data storage.

Define

Define data ingestion rules, ensure compliance through governance, and maintain data efficiency.

Execute

Improve scalability, performance, and security. Test and validate data lake functionality with predictive analytics for improved decision making.

Monitor

Monitor, maintain, and update the data lake for reliability, security, and evolving organizational needs.

Security is of the utmost importance when it comes to a data lake. CBTS values the confidentiality, integrity, and availability of data, and we take all necessary measures to ensure that our clients’ data lake is secure.

Aligning big data analytics with business objectives

The purpose of data in a company should be to advance business goals. To achieve this, it’s essential to create a strategy for collecting, organizing, and utilizing data aligned with the company’s objectives. The key is to look beyond the current role of data within the company and aim to harness its full potential in order to achieve business goals more effectively. It should possess the capability and depth of insights to give you a competitive edge and become a disruptor in your industry.

Data is the most valuable raw material today… For this reason, data-driven businesses must pay special attention to only feeding their analytics systems quality data.

Forbes

FAQs

Top 5 questions

What is a data lake?

It’s a large and centralized repository that stores structured and unstructured data at any scale, allowing organizations to store and process vast amounts of data in its native format.

What are the benefits of using a data lake for big data analytics?

Data lakes enable storage and processing of large volumes of data at a low cost, the flexibility to handle different types of data, and advanced analytics and machine-learning algorithms.

How does a data lake differ from a traditional data warehouse?

A data lake stores raw data without preprocessing or organizing it. It can transform and analyze data later as needed and manage unstructured data, unlike a data warehouse.

What are some common uses for data lakes and big data analytics?

Various industries use data lakes and big data analytics for customer analytics, fraud detection, predictive maintenance, and supply chain optimization.

How do data lakes ensure data security and privacy?

Data lakes can ensure data security and privacy through access controls, encryption, and data masking. Additionally, data lakes can be integrated with existing security and compliance tools to ensure regulatory compliance.

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with a CBTS solution consultant

Talk to one of our experts today to see how we can help your organization better utilize big data analytics.