Big Data Analytics Consulting Services

Big data analytics allows to process & analyze massive volumes of organizational data, empowering businesses to:

• Make informed decisions
• Optimize operations
• Reduce data-related expenses
• Mitigate risks effectively
• Embrace innovations

The first step to achieving efficient big data analysis and business utilization is to thoroughly prepare the data and set up automated data processing operations. This usually implies such activities as:

• Collecting data from multiple sources (financial transactions, web pages, marketing tools, IoT devices, etc.)
• Storing data within big data analytics infrastructure (data warehouses, data lakes)
• Processing data (cleaning, transforming, organizing) to safeguard its reliability & security, facilitate analysis & data interpretation
• Analyzing data using analytical techniques (exploratory analysis, ML modeling) to derive insights
• Visualizing data via interactive dashboards, graphs, & charts for better interpretation

Data analytics consulting refers to a set of big data development & analytics services that help organizations employ basic statistical and data visualization techniques. While its subset – advanced analytics consulting, involves the utilization of more sophisticated tools & methodologies, including ML, AI, and predictive modeling for complex data sets.

Advanced analytics consulting companies offer clients guidance on data strategy, technology selection, data management, analytics processes setup, BI integration, and overall implementation/optimization of big data analytics infrastructure & platforms.

Even though big data analytics solutions (e.g., low-code platforms) become more accessible & easier to set up, planning their implementation is still important. So, it makes sense to start with creating a data strategy roadmap and then move to its step-by-step deployment. However, the more data & requirements you have, the more sophisticated approaches and the deeper expertise you need for big data analytics implementation. Thus, if you lack data architects & engineers, turning to a data analytics consulting company might be your starting point.

Sigma Software’s advanced analytics consulting team will help you clarify business goals & requirements, assess data sources, and set up effective analytical processes tailored to your current & future needs.

Big data analytics can be challenging due to the complex nature of big data & its analytical process. That, without appropriate management, may cause:

• Misleading or inconsistent data that distances businesses from getting accurate insights
• Challenges in identifying security vulnerabilities within complex and large datasets
• Limitations in scalability for handling increasing data volumes
• Time-consuming data processing and data transformation into actionable insights for analytical purposes
• Expenses increase due to unconsidered changes in data storage & processing requirements or analytics goals

However, the engagement of a data analytics consulting company that knows all hidden pitfalls and ways to cope with them can help you smoothly overcome those challenges and unlock the benefits data analytics provides.

Organizations achieve success with big data analytics services when:

• Understand big data goals & recognize their value for the business
• Plan a budget for big data analytics considering the possibility of implementing new functionality or improvements to keep up with a business growth
• Ensure data accuracy & consistency to generate meaningful insights
• Implement reliable security strategy & measures
• Nurture data-driven culture encouraging data literacy, collaboration & decision-making

New tools for big data analytics emerge regularly, yet there are some commonly used instruments in this field. As a data analytics consulting company, we apply them to develop both on-premises & cloud solutions. Given that the last ones are trending now, we use:

• AWS EMR
• AWS Glue
• AWS Redshift
• Apache Spark
• Apache Kafka
• Airflow
• BigQuery
• Databricks
• Power BI
• Snowflake
• Tableau

Proven approaches that advanced analytics consulting companies apply & suggest for optimizing big data analytical efforts include:

• Clearly define goals & objectives at the early start to minimize the guesswork
• Create an optimal data strategy to manage your analytical process & boost collaboration
• Implement a data governance framework to safeguard data availability, quality, and security through established policies & standards
• Track essential KPIs & measure the impact of big data analytics services on your business to refine the data analytics process if needed