Predicted 2022 Leaders in Big Data

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Within the realm of technology, the term “Big Data” has become increasingly commonplace in recent years. This term refers to datasets that are more complex and larger than those typically encountered in spreadsheet applications.

If collected and processed properly, however, such massive amounts of data can provide invaluable insights for your business. Some of the characteristics of Big Data-using businesses highlighted in a recent BARC report are:

  • 69% confidence in arriving at sound strategic conclusions
  • There is a 54% chance of enhanced process control in operations
  • With a 52% increase in consumer knowledge,
  • Chance of more efficient cost-cutting measures increasing to 47%

The potential of your data can only be fully realized through the harvesting of Big Data sets. However, getting your hands on the right information and then processing it in a way that yields useful insights is no easy task, and many people would rather have experts handle it for them. Thankfully, this gap in service is being filled by companies specializing in Big Data.

 

Big Data and Its Significance

There’s a temptation to believe that collecting even the most fundamental data sets from your company is sufficient. It’s possible, though, that your company will miss out on crucial, actionable insights if you ignore Big Data sets.

With the availability of massive amounts of data, business leaders can take into account a wider range of factors when setting strategic objectives. In addition, this data can be gathered from a wider variety of sources, such as stock market exchanges and social media activity.

Often arriving at a rapid pace and growing at an exponential rate, Big Data is complex and can be challenging to access and manage. Both structured and unstructured data can be part of this. A lack of a consistent model or format makes unstructured data difficult to sort through and use. Consequently, it is reasonable for businesses to seek help from independent Big Data firms to handle their data processing needs.

 

Top Big Data Organizations for the Year 2022

According to Statista, the value of the Big Data industry will increase to $77 billion by 2023. It’s no secret that numerous tech firms have responded to the growing interest in Big Data by developing their own solutions for gathering and analyzing this type of information. When evaluating the tools and services offered by these Big Data firms, it is important to keep your company’s specific requirements in mind.

Google BigQuery

Google BigQuery is an analytical data warehouse that can process data from multiple clouds to help you make sense of your Big Data. The analytics solution provides continuous data streaming, making it simple for businesses to always have the most recent data at their fingertips. Information can be gathered from various systems and clouds, and it can be used at any scale.
BigQuery’s Data Transfer Service makes it easy to import data into the system without having to do anything special. Since they can import data from any SAP-compatible database, they are also a good choice if you are already using a partner tool.
The service’s built-in machine learning makes it simple to derive insights once data has been collected. Their BI tools will allow you to effectively communicate your findings to your team through visual representations of your analytical findings. Encryption, management, dependability, and protection mechanisms are all part of the software package.
After the trial period ends, Google BigQuery’s subscription pricing is competitive and predictable.

 

Alteryx

Alteryx makes use of robotic processes for Big Data preprocessing, blending, and analysis. By using the drag-and-drop interface of Alteryx’s Big Data tool, you can quickly get started managing your data collections. The system can be connected to many different Big Data ecosystems.
Users can import information from a wide variety of sources into Alteryx, including applications, databases, and files, thanks to the platform’s extensive collection of data preparation tools and its more than 80 available connectors. It works very well for compiling information from various sources.
Once you’ve connected your various sources to the Alteryx platform, you can blend the data, create datasets for analysis, and use its excellent methods to build real-time data models. The company also offers other tools that aren’t offered anywhere else, such as a ROI calculator that can aid in making educated business decisions.
After a free trial period of 30 days, annual billing will begin. Numerous product bundles and per-user pricing tiers are available.

 

Cogito Dialog

Platform for behavioral signals in the cloud, developed by Cogito Dialog, provide insights that can be put into action to help businesses improve their interactions with customers. The platform draws on data sets related to verbal and nonverbal behavior, customer engagement, and key performance indicators (KPIs) to derive insights about the platform’s clientele.
Supporting customer service representatives via phone calls is where this technology really shines, thanks to the intelligent AI that can direct their conversations. In addition to collecting data, their system analyzes it and provides users with real-time insights into their interactions with customers so they can spot problem areas and address them immediately.
While this smart data software service was designed with call centers in mind, it can be useful for any business that relies heavily on phone conversations. It also supports secure network connections via IPSec VPNs or AWS Connect, and it has single sign-on (SSO) features that allow users to log in only once to access all of its features from any device.
The payment terms can be 12, 24, or 36 months long, and the prices can be spread out over those amounts of time.

 

Microsoft Azure

In addition to its traditional database management software, Microsoft also offers Azure cloud platform. 

Hybrid integrations for more than 90 data connectors allow you to put your data to good use. Afterwards, you can use the best-in-class machine learning tools, such as Power BI and Azure Synapse, to build pipelines with streaming data and derive actionable insights.
Automated data discovery at petabyte scale is possible on the Microsoft Azure platform, which can also be programmed. In addition, sensitive data is protected by the system and can be easily shared with colleagues via Azure Data Share, which also features sensitive data classification. Azure’s support for more than 90 certifications across industries and regions is a further benefit.
Users can plan ahead for the costs of using the Azure cloud platform for Big Data thanks to the service’s pay-as-you-go pricing model.

 

Splunk

Splunk’s Organizations can benefit from Big Data because it helps them collect, index, and analyze massive amounts of machine data.
Splunk is an end-to-end solution that can scale with your business and provide insights from real-time data collected with other software tools. Splunk Analytics for Hadoop allows its users to not only gain insights from their current data, but also from their historical data. The system provides a streamlined, unified interface where users can analyze their data with ease. The software can spot patterns in data and use predictive analytics to help users plot out their next moves and formulate strategic plans.
Splunk’s advanced search, views, and dashboards are all highly customizable, which is a major plus. In addition, the search processing language it employs can help users properly interpret both current and historic data.
There is a free trial available for Splunk if you’re interested in learning more about your machine data.

 

Teradata

Teradata is a multi-cloud data platform that uses AI and ML to analyze and draw conclusions from large amounts of data, helping businesses to spot new opportunities for growth.
It’s great that there are so many options for putting data to good use in this software. Customers, new products, assets, risks, finances, and operations all benefit from this for users. If you want to take your business to the next level, Teradata can help you get there by creating an entire analytics ecosystem with the predictive intelligence you need.
It is scalable, but best suited for large-scale implementation in an enterprise setting. As a company expands, Teradata will be able to handle the increased workload and data volume. All members of the team will have access to it thanks to its flexibility in deployment options, which include public clouds, hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, and VMware running on commodity hardware.
Teradata is a good choice for businesses with more extensive networks due to their pay-as-you-go pricing model and license portability across deployment options.

 

BigPanda

BigPanda is comparable to other big data analytics firms in that it employs robotic process automation and machine learning to derive useful information from raw data.
By consolidating disparate IT tools into a single platform, their AIOps Event Correlation and Automation solution ensures that your digital services continue to function optimally. It monitors for incidents as they happen and issues alerts before any damage can be done to your business. To do this, the platform examines data for indicators of weaknesses in the underlying infrastructure that could lead to security breaches.
Users are also able to quickly and easily assess organizational processes for potential sources of harm to the company. Among these are problems with availability and performance, high operating costs, and factors that slow down business activity. Connecting Big Panda with the rest of the company’s topology tools yields a Real-time Topology Mesh for app management and precise monitoring correlation.
Business operations that want to be more efficient may benefit from BigPanda’s software. There are pre-built integrations available with common business software, and the tool also offers a self-service REST API that users can use to create their own integrations and gather actionable data from across their entire organization.