Data Acceleration: How to Achieve Faster Data Insights in 2024

Picture any thriving business you can think of—whether it’s manufacturing, healthcare, finance, or retail. Now, picture the ever-growing influx of data from multiple sources this business is accumulating every second.

• Production metrics
• Customer interactions
• Market trends
• Internal operations
• And much more

Every day, thousands of companies accumulate indescribable amounts of valuable information but need the ability to utilize it with their existing technology. Organizational data flows faster than it can be processed, analyzed, and turned into actionable insights. Business opportunities are lost in the noise, leaving decision-makers to decide when only some partial information is available.

With quick and cost-effective data processing capabilities, C-level can gain critical insights that drive innovation, improve efficiency, and help the organization grow. Having this capability is where data acceleration comes into play, providing the tools to unlock the hidden value in their data and propel the organization forward.i

Understanding Data Acceleration

Data acceleration encompasses a range of technologies and methods designed to speed up data processing and analytics. Traditional data processing often needs help increasing data volume, variety, and speed (sometimes simply due to lack of computing power). Data acceleration addresses these challenges by optimizing data flow, utilizing parallel processing, and leveraging advanced hardware like GPUs to eliminate bottlenecks and produce faster results.

Why Data Acceleration Matters

The significance of data acceleration cannot be overstated. Here are three key advantages:

• Scalability: As data volumes expand, data acceleration technologies help you scale seamlessly, maintaining high performance even with larger datasets.
• Speed: Faster data processing means quicker insights and time to market, which is vital for decision-making in today’s fast-paced business environment.
• Cost Efficiency: By optimizing hardware usage, data acceleration lowers total costs and increases return on investment (ROI).

5 Data Lifecycle Stages

The data lifecycle comprises several vital stages that transform raw data into actionable insights, each building upon the last to ensure that organizations can fully leverage their data.

1. Creation: As described at the beginning of this article, data generation is the first step in the data lifecycle. Business information is created from various sources: customer interactions, operational metrics, market trends etc…. This data is the lifeblood of the business.
2. Storage: Once created, your Dev-Ops team must securely store and manage it. This stage involves organizing data within databases or data lakes, ensuring it is accessible for further use while adhering to compliance and security protocols. Proper storage also consists of managing data to allow for scalability as the volume grows. There are multiple options to store business data, whether on-prem or in the cloud. Extensive cloud services like AWS or GCP offer different data storage, processing, and analysis tools that enable organizations to store, manage, process, and analyze their data. These leading players also provide native integration to 3rd party services that help businesses utilize their data even better.
3. Processing: Having secure data storage is essential. But you can do very little without the ability to process it fast and use it when needed. The processing phase is where the data is refined, cleaned, and queried. This stage is crucial for transforming raw data into a usable format, enabling businesses to extract relevant information for various applications. Cost-effective processing ensures that your data is ready for analysis. This stage is the most important one in the data lifecycle stages. The ability to read and query data fast means business insights and growth. 
4. Insights: Now that you can process massive data sets shortly and cost-effectively, you can analyze data to uncover patterns, correlations, and trends. This stage often involves advanced analytics tools and methodologies, including machine learning and AI, to derive deeper insights. The quality of analysis directly impacts the value of the insights generated.
5. Visualization/Prediction: Data visualization brings the analysis to life. With tools like Panoply, Tableau, PowerBi, Qlik, Looker you can create dashboards, charts, graphs, and other visual tools that present insights from your data in an easy way to interpret and develop action items. The visualization/prediction stage is where your data turns into an asset, enabling decision-makers to understand complex information and drive business strategies quickly. 

Together, these stages ensure that data flows seamlessly from creation to actionable insight, enabling businesses to remain agile, informed, and competitive.

SQream Data Acceleration Flywheel 

The SQream Data Acceleration Flywheel operates on the principle that faster data processing drives better insights, which in turn fuels better decision-making, leading to business growth and the generation of even more data. SQream’s GPU-accelerated technology acts as the driving force behind this flywheel, enabling businesses to process massive amounts of data rapidly and efficiently. Traditionally, such capabilities were reserved for large organizations with vast data sets and substantial resources. However, SQream democratizes this power, making it accessible and cost-effective for both large enterprises and smaller companies. As data is processed faster, insights are delivered quicker, empowering organizations to continuously optimize operations, innovate, and stay ahead of the competition.

Citius, Altius, Fortius

“The original Olympic motto is made up of three Latin words : Citius – Altius – Fortius. These words mean Faster – Higher – Stronger.

On the 20th of July 2021, the Session of the International Olympic Committee approved a change in the Olympic motto that recognises the unifying power of sport and the importance of solidarity. The change adds the word “together” after an en dash to “Faster, Higher, Stronger”. The new Olympic motto now reads in Latin “Citius, Altius, Fortius – Communiter” and “Faster, Higher, Stronger – Together” in English”

Source: olympics.com

Just as the Olympic motto evolved to “Faster, Higher, Stronger – Together,” SQream Blue our new cloud SaaS product embodies this concept by seamlessly integrating with your existing systems, driving data insights faster and more powerfully. SQream Blue leverages the advanced capabilities of GPU parallelism, allowing it to process enormous datasets in a fraction of the time that traditional CPU-based systems require.

This remarkable speed translates into accelerated data analysis and quicker decision-making, enabling your organization to adapt swiftly to changing market conditions, uncover opportunities, and never miss an opportunity.

Moreover, SQream Blue doesn’t work in isolation; it enhances your entire data warehouse or lake ecosystem. Working in harmony with existing tools and platforms ensures that every component of your data infrastructure is optimized for peak performance. This integration allows your organization to harness the full potential of its data, delivering faster, more comprehensive, and more accurate insights.

Harness the Power of Data Acceleration. Lead the Future!

As businesses continue to generate vast amounts of data, the ability to process and analyze that data quickly has become critical for staying competitive. With the rapid pace of today’s market, organizations that invest in data acceleration technologies like SQream Blue are positioning themselves to lead in innovation and efficiency. By seamlessly integrating with existing syste

ms and leveraging GPU power for faster processing, SQream Blue enables companies to transform data into actionable insights more quickly and effectively, ensuring they keep up and stay ahead in a data-driven world.