Big Data is a popular term that has been circulating within the tech scene in recent years. This concept describes larger and more complex data volumes that are generally more difficult to manage than the average spreadsheet.
However, these data volumes can produce valuable insights for your organization if they are collected and processed correctly. According to a BARC report, organizations that use Big Data have:
- A 69 percent chance of making better strategic decisions
- A 54 percent chance of improved operational process control
- A 52 percent chance of having a better understanding of consumers
- A 47 percent chance of more effective cost reduction tactics
Harvesting Big Data sets is vital if you wish to maximize your data’s potential. However, acquiring the correct data and processing it in a way that will provide you with actionable insights can be challenging, and many prefer to leave it to the professionals. Fortunately, Big Data companies provide valuable services to help fill this need.
Importance of Big Data
If you already collect basic data sets from your organization, you may think you’ve done enough. However, failing to consider Big Data sets could mean leaving important actionable insights for your organization on the table.
Big Data allows decision-makers to consider more of their information when creating goals for their organizations. Moreover, this information can be derived from a larger range of sources, from stock trade exchanges to social media activity.
Big Data is complex and can be difficult to access and manage, as it typically arrives with high velocity in exponentially increasing volumes. This data can include both structured and unstructured data. Unstructured data is unorganized, as it doesn’t fall within any predetermined model or format. Therefore, it makes sense that organizations would want to outsource their data processing to external Big Data companies.
Best Big Data companies in 2022
The Big Data market is predicted to reach $77 billion in worth by 2023, according to Statista. Of course, many tech companies have been jumping on the Big Data trends, providing their own tools and products for Big Data collection and analysis. Consider your organization’s unique needs when assessing these Big Data companies’ tools and services.
Google BigQuery is a multi-cloud data warehouse that derives insights from your Big Data volumes. The analytics solution streams data in real-time, allowing businesses to access updated information easily. Data can be adapted from any scale and collected from multiple sources across systems and clouds.
The BigQuery Data Transfer Service automates data movement into the system, providing a hands-off approach to the data collection process. They are also a great option if you are already working with a partner tool, as they can support data ingestion from any SAP-supported database.
Once you have gathered your data, the service makes it easy to gain insights, as they have built-in machine learning within their system. You can then use their business intelligence tools to represent your analytical insights and share them with your team. The software also offers data encryption, governance, reliability, and security controls.
After a free trial, Google BigQuery is a relatively inexpensive option, with flexible, subscription-based pricing.
Alteryx uses automation to prepare, blend, and analyze your Big Data. With Alteryx’s Big Data tool, you can easily begin the process of managing your data collections with drag-and-drop connectivity. The platform integrates with various Big Data environments.
Alteryx also has over 80 connectors and many tools for data preparation so your users can load data into the platform from multiple sources, including apps, databases, and files. It’s an excellent option for analyzing data from many different places.
Once connected to your various sources, the Alteryx platform then performs data blending, creates datasets for analysis, and has great methods for creating real-time data models. The company also provides other unique tools like an ROI calculator, which is a helpful feature for making well-informed business decisions.
After a 30 day free trial, customers are billed annually. You can choose between pricing options based on the number of users or selected products.
Cogito’s cloud-based behavioral signals platform, Cogito Dialog, provides actionable insights that assist organizations with their customer interactions. The platform develops customer insights from multiple data areas, including verbal and nonverbal behavior, customer engagement, and business KPIs.
The technology is most helpful with assisting customer service agents, as their intelligent AI can guide their phone calls. Their system also processes the data and allows users to see real-time insights on their customer interactions to identify areas of improvement.
While this intuitive data software service is mainly tailored toward call centers, many different types of organizations that utilize voice interactions can benefit from its features. Its other notable features include single sign-on (SSO) capabilities, integrations with third-party vendors, and secure network connections with IPSec VPNs or AWS Connect.
Customers can choose between three pricing plans and 12-, 24-, or 36-month payment intervals.
Microsoft also provides options for Big Data through its Azure cloud platform.
You can utilize your data with hybrid integrations for over 90 data connectors. From there, you can create pipelines using real-time data collection to generate powerful insights using best-in-class machine learning tools with Power BI and Azure Synapse.
Microsoft Azure platform also lets you program automated data discovery and scale to petabytes of data. In addition, you can easily share data with members of your organization through Azure Data Share, and the system protects sensitive data with sensitive data classification. Another nice perk of Azure is that it complies with over 90 industry and geographical compliance certifications.
Those interested in using the Azure cloud platform for their Big Data can budget for the service’s products with their pay-as-you-go pricing.
Splunk’s Big Data solution collects, indexes, and analyzes high-volume machine data for businesses and organizations.
Splunk can provide insights from real-time data collected through other software tools, with scalable integrations for its end-to-end solution. Users can gain insights from their historical data as well, with Splunk Analytics for Hadoop. The system lets users easily analyze their data information in one fluid, unified user interface. The tool identifies data trends and employs predictive analytics so users can form strategic decisions and plan their next moves.
Another nice aspect to Splunk would be its customization options for its views, dashboards, and its advanced search feature. In addition, its search processing language can allow users to gain the right insights from their real-time and historical datasets.
If you are interested in gaining insights from your machine data through Splunk, you can start a free trial with the service.
Teradata is a multi-cloud data platform that works to transform data into analytics and insights through artificial intelligence and machine learning, so organizations can identify opportunities to further their success.
The software provides multiple ways to process data and generate valuable information. This helps users with customer experience, product innovation, asset optimization, risk mitigation, financial transformation, and operational intelligence. Teradata designs comprehensive analytics ecosystems with predictive intelligence you can utilize to make decisions that will drive your business to the next level.
The system is most suited to enterprises, but it is also scalable. Teradata can handle greater workloads and data sets as an organization grows. Additionally, it can be deployed on public clouds, hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware, so all team members can use it.
With their pay-as-you-go-pricing system and portable licenses between deployment options, Teradata is a suitable option for organizations operating on more extensive networks.
BigPanda is another Big Data analytics company that uses automation and machine learning to turn data into insights.
Their AIOps Event Correlation and Automation platform keeps your digital services running better by unifying IT operations across fragmented tools. It detects incidents in real-time and creates alerts before the threat can negatively affect your organization. The platform does this by analyzing data for infrastructure-related root causes of potential security issues.
Users can also easily analyze their organizational operations for areas that could be negatively affecting their business. These include availability and performance issues, expensive operating costs, and causes of decreased business velocity. Big Panda can also connect with all topology tools that are utilized by the business, creating a Real-time Topology Mesh that can manage apps and accurately correlate monitoring.
BigPanda’s software can be helpful for organizations that are looking to increase the efficiency of their business operations. The tool comes with pre-existing integration options with popular business software products, and their self-service REST API enables users to build their own custom integrations to collect useful data across all of their business activities.
Key considerations when evaluating Big Data companies
You may be wondering what you should be looking for in a Big Data solution. Here are some of the most valuable assets and features to consider when deciding upon a Big Data software provider.
Data collection methods
When assessing a Big Data product’s data collection methods and capabilities, think about the types of data your organization would need to utilize. While the majority of Big Data providers can manage and analyze data from various sources, ensure that they are compatible with the data types specific to your business. Examples would be social media engagement, stock activity, and customer communication data.
Data governance features
Many Big Data tools provide additional security for organizations in the form of data governance features. Big Data governance is the management of data based on integrity, usability, security, and other internal data standards associated with your organization’s data usage. These tools work to maintain your data collection according to your policies, protocol, and procedures.
In Big Data, velocity refers to the speed of your tool as it manages data. This involves the application of data collected in real-time and other information that is received and processed by the software quickly. Depending on the volume of data that you wish to analyze with your software, the velocity of your tool could determine whether it is capable of producing timely and valuable insights from your data.
Different software can have different methods for analyzing Big Data sets. By considering how these products would be analyzing your data, you can determine whether they would produce the right insights and fulfill your organization’s needs.
For example, the Cogito software is specifically ideal for analyzing human behavior and interactions. Therefore, Cotigo’s behavior analysis features may not be a suitable choice for an organization that wants to gain insights from the analysis of stock exchanges.
Finally, ensuring that your software can integrate with your other data collection tools is essential for fully leveraging your Big Data sets. Integrations with other tools allow the Big Data software to collect and analyze data from numerous sources. Thus, not having integrations with all of your systems could mean you’re missing out on useful data insights.
How to choose the right Big Data company
The best Big Data tools for your business depend on the data tools you already have, the data sources you wish to analyze, and the types of insights that you wish to gain.
First, make sure the tools you choose can integrate with your system. If a direct integration isn’t available, look for API accessibility at a minimum.
Next, take a look at your organization and consider the types of data sets that contain valuable information about your business. Practically every department in your organization has useful data that could generate valuable insights with the right software.
Finally, think about what kinds of insights you would like to generate from your data. For example, many tools provide historical data analysis features, and others may be able to conduct forecasting that can shed light on upcoming trends for your organization’s growth.
All of these considerations are important for you to make an informed decision on the best Big Data software provider for your needs. When utilized to its fullest potential, Big Data can reveal the missing information that can lead your organization to success.
Read next: Examining the Big Data Explosion