Big Data & Analytics consulting

At BitsByteSoft, we leverage advanced Tool For Big Data Analytics and business intelligence tools to help clients extract actionable insights from diverse data sets generated in real-time and at a large scale. We enable organizations to consolidate massive volumes of structured, semi-structured, and unstructured data coming from different sources into a holistic environment that can be used for modeling and predicting new market opportunities.

Data strategy

BitsByteSoft helps companies quickly identify high-impact use cases for data-powered tools, detect associated growth opportunities, and come up with a strategy tailored to your business objectives.

Data quality analysis

We will analyze your company’s data to understand whether its quality and structure suits your needs. Based on our findings, we design an in-depth plan to improve your data-centric tools and boost their effectiveness.

Data preparation

In case your datasets contain dirty or erroneous data, our data science consultants will reorganize, modify and cleanse it to secure its veracity and reliability for the purposes of data-driven decision making.

Custom big data services

BitsByteSoft experts offer a full range of big data services, from consulting and strategy definition to infrastructure maintenance and support, enabling our clients to get vital insights from previously untapped data assets. We apply a proprietary big data framework combined with popular open-source technologies like Apache Hadoop, Spark, and Kafka as well as machine learning and deep learning algorithms to deliver a comprehensive tool set for storing, processing, and analyzing large quantities of data.

Big data consulting

Leverage our big data consulting services to assess and optimize your current big data solution, define a product strategy, and identify best-fit technologies that will help you convert your data into revenue opportunities.

Data infrastructure & engineering

Create data warehouse and data lake solutions, as well as streamline ETL development, execution and management tasks by building data pipelines that transform raw data into curated datasets which can be easily retrieved for further processing.

BI & data analytics

Make better and faster decisions by accelerating your time to insights using breakthrough business intelligence tools and leveraging a data science approach that comprises statistical and machine learning techniques.

Data visualization

Gain 360-degree visibility into your data with interactive reports and intuitive dashboards that make analytics understandable and manageable for everyone at every level of your organization.

Data security

Protect your data from intentional and accidental destruction, modification, or disclosure by adhering to security standards, developing a tiered access system, and ensuring efficient backup and recovery processes.

Data monetization

Embed analytics into your products and services to reveal insights that enable you to improve your overall business performance, strengthen customer loyalty, and help you detect new growth opportunities.

BI visualization tools

Our data analytics consulting company can help your business identify trends and opportunities, keep track of KPIs, excel at data storytelling, and streamline decision-making by transforming datasets into highly interactive analytical assistants.

Geospatial visualization tools

We deliver engaging visualization solutions for data coming from the physical world, including geographic maps, photorealistic 3D models, and other geospatial analytical tools.

Our approach

Define the problem

Assess your business environment and performance to identify key goals and challenges

Prepare data

Evaluate data quality and remove inaccurate records to structure data for further analysis

Incorporate in business

Integrate analytical algorithms into your production environment to unlock new opportunities

Collect data

Gather data in different formats from multiple sources to address identified goals

Analyze data

Develop analytical algorithms to discover useful insights for making business decisions

Validate the results

Continuously assess the performance of your algorithms and make adjustments if necessary

Selection

• Platform assessment
• Tools and services selection
• Evaluation criteria

Prototyping

• Scalable data stores
• Cross-platform ETL

• Data visualization

Implementation

• Data quality and consistency
• Real-time data processing
• Data migration

Operation

• Performance optimization
• Platform scalability
• Availability
• Security

Smart decision-making

As the data landscape evolves, companies need to be more agile and responsive. Predictive analytics helps to join big data processing and practical decision-making. Big data analytics services and data science transform the way enterprises deal with information.

If companies don’t want to be deluged by volumes of high-velocity data, they need to quickly react to market challenges and think outside the box. Big data analytics solutions enable companies to inspect, clean, and model data to draw valuable, business-oriented conclusions. Visualizing big data analytics allows business leaders to quickly make sense of information and provides real-time insights to identify new opportunities.

Competitive edge

Thoroughly gathered and explored data is critical for reacting to future challenges. Enterprises that can recognize emerging tendencies and tailor their services accordingly can meet rising demand and become the go-to sources for particular products or services.

Big data predictive analytics puts actionable insights directly into the hands of decision-makers, helping companies stay ahead of the competition. The correct use of data intelligence lets companies review their internal operations and workflows to effectively expand their services and investments. Big data analytics solutions help executives reduce time and expenses on product development and marketing strategies to outperform their rivals.

Data-driven organization

Today’s data environment poses lots of challenges for a big data analytics company. With the rise of distributed and cognitive computing, companies need to manage unstructured forms of data. Putting it to good use is the key to becoming a strong data-driven organization.

By using advanced analytics techniques powered by artificial intelligence (AI) and machine learning (ML) algorithms, business owners can unlock the value of their data. Big data analytics company can shape actionable models from existing data to predict possible scenarios and help companies determine which actions will bring the best results. Analyzing consumer preferences and distributing the results of analysis across departments makes this data the key asset for any enterprise.