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Pinsout Innovation

Data Analytics

The process of analyzing data trends in order to gain knowledge and insight for better decision-making is known as data analytics. The process frequently begins with raw data, which is then mined for valuable insight – after all, competitive advantage is the goal of business data analytics. IT enables organizations to digitally transform their business and culture, allowing them to make more innovative and forward-thinking decisions. Algorithm-driven organizations are the new innovators and business leaders, going beyond traditional KPI monitoring and reporting to uncover hidden patterns in data.

Data analytics is increasingly being performed with the assistance of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to help businesses make better business decisions. Analytics tools are also used by scientists and researchers to validate or disprove scientific models, theories, and hypotheses.

Our Compatibilities

Data integration and data warehousing

  • The internet of things (IoT) is a catch-all term for a growing number of electronic devices.
  • Data governance (data security, quality, availability, etc.) implementation.
  • Data warehouse, data mart design, and implementation.

Big Data

  • Big data infrastructure setup & support.
  • Big data quality & security management.
  • Big data capture, analysis, & reporting.

Data Science

  • Data preparation & management.
  • Development and tuning of machine learning (including deep learning) models.
  • Development & tuning of data mining models.
  • Designing & implanting artificial intelligence (AI) solutions.
  • Image analysis software development.

Self-service BI

  • Business intelligence and data analytics infrastructure design and implementation.
  • Ad hoc and scheduled analytics querying and reporting.
  • Natural language user interface.

Data Visualization

  • Interactive dashboarding.
  • Custom and pre-built visuals.
  • Multiple visualization techniques (symbol maps, line charts, bar charts, pie charts, etc.).

Our Use Cases

Futuristic banks and financial institutions are leveraging big data in a variety of ways, from capturing new markets and market opportunities to reducing fraud and managing investment risk. These organizations can also use big data analytics as a powerful tool to gain a competitive advantage.
 

Accounting's heart is data, and using big data analytics in accounting will undoubtedly add value to accounting firms. Accounting activities include various types of audits, checking and maintaining ledgers, transaction management, taxation, financial planning, and so on.

Big data analytics has a huge scope in the automotive industry, which is a combination of several individual industries, whether it is for research and development or marketing planning. The automobile industry generates massive amounts of data every day as a critical infrastructure segment that powers a number of critical public and private ecosystems!

Unstructured data management is cited as a major issue by 95% of businesses, and 97.2 percent of business organizations are investing in AI and big data to streamline operations, implement digitization, and introduce automation, among other business goals.

Big data analytics has many applications in the energy industry, ranging from providing new ways to innovate for various sectors to using data sensors to track and monitor new preserves.

When the world is on the verge of the fourth industrial revolution, the manufacturing sector and supply chains are undergoing rapid transformations in a variety of ways. Manufacturers are looking for ways to use the massive amounts of data they generate to streamline business processes, uncover hidden patterns and market trends, and boost their business equities.

Reach out to us for more details



    Reach out to us for more details