analytics software

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore, author and consultant.

It’s known that 79% of enterprise executives say that companies that do not adopt Big Data will fall behind the competition, according to an Accenture study. More than 80% of companies utilize big data to improve their services. business decisions and to reduce expenses. Implementation of big data has a good impact on profits, exceeding 10 percent.

Most of the companies,Industry influencers, academicians, and other prominent stakeholders agree that Big Data has become a big game-changer now and all types of modern industries are using and benefiting from Big data. As Big Data continues to get huge demand, there has been a significant shift of focus from the hype surrounding it to finding real value in its use.

The global big data market reached $208 billion in 2020 and is projected to reach an annual growth rate of 10%, reaching $450 billion by 2026, according to Expert Market Research. The utilization of Big data growth is happening at rapid speed as the companies desire to make all business data actionable in a competitive marketplace. The growth of AI, machine learning and IoT devices also contributing to the expansion of big data solutions.

Enterprises are searching for big data analytics companies as Big data usage grows across industries throughout the 21st century, and Big data vendors are launching niche  big data tools to handle the data of different sectors.

With Big data companies are able analyze complex data and make  business decisions with ease. Big data is very helpful in the following categories like Customer Analytics, Operational Analytics, Fraud Detection, Compliance, Data Warehouse Optimization.

Why do companies need Big Data Analytics?

Big data analytics is playing key roles in all the industries with its uniqueness to handle the huge amount of data. Big data is the combination of several technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion in information in order to make smart solutions. There numerous factor increasing huge demand for Big data analytics,like:

  • Big data is cost-effective.
  • Big data helps in quick decision making.
  • Encourage innovative products and services as per the need.
  • Deliver error-free results.
  • Minimize human intervention

So how can you find and choose reliable big data analytics companies that will help with that? Here are some points you should consider to choose the Big data firm.

Choose the location with the Big data development expertise 

You can check for the best location to find a big data analytics provider, take into account the number of big data specialists within the country as well as the level of competition for these experts. 

Consider the tech stack of a big data company

In order to drive Big Data outsourcing projects, you need very experienced specialists both proficient in Big Data tech stack and with very strong coding skills. The big data enterprise analytics provider need to to be proficient in Hadoop ecosystem and Apache Spark, SQL, NoSQL databases, big data tools as RedShift, Hive, Athena for querying data, programming focus on Scala, Python, and Java, Kubernetes, Big Data CI/CD pipelines, Kafka, Google Cloud Dataflow and etc.

Is Big data firm able to understand and meet your specific business needs 

Companies often face hurdles in extracting the real value from Big Data initiatives.  You need to clearly explain your business KPIs to big data engineers and data scientists. To analyze your business case and help you define viable KPIs and produce realistic estimates.

Check proven track record of business intelligence development 

Besides collecting and processing large amounts of data, it’s very important to produce intelligible, timely reports. BI developers must be proficient in using various BI tools, including SQL, Oracle, MySQL, Hbase, BigSQL Data Lakes, AWS Redshift, SSIS, SSAS, Pentaho, Tableau, QlikView, Power BI, and more.

Finding a reliable big data analytics provider is a tough task. The analytics firm should be both able to analyze your business needs and have sufficient Big Data expertise to give better results.