Big Data Consulting Services
Big data refers to the large and diverse data sets that are recorded in large volumes. These large data sets are used to address business problems and make decisions. Big data entails the volume of data generated that needs processing, the velocity at which it is made, and the variety of the data set. The variety factor of big data means that this large data volume is generated from multiple data sources, that is, structured, semi-structured, and unstructured forms. Alternatively, the variety factor of big data also shows the different forms of data which can be text, audio, or video. At Expert Research and Data Analysis Help, we offer big data consulting services to individuals, businesses, and organizations.
According to a recent survey conducted in 2024, approximately 402.74 million terabytes of data are created each day. Big data consultants assess the relationship between various types of business data to check whether there is a correlation. For example, a big data analyst can conduct research to check the relationship between gender and product purchase. Big data analysis can either be done internally by a business or externally by a big data consulting company like ours.
Big data analytics consulting is a strategic business decision because it increases the speed of a product getting to the market, reduces the time that an item takes to adopt in the market, and ensures that the correct target market of a product is reached. It is beneficial because, with the large pool of information, a business gets full information on how to tailor their products best for their customers. Below are some real-life big data analytics examples:
- In the banking and financial industries, large amounts of data are generated through their services. Big data analytics helps these industries to detect patterns of fraudulent behavior.
- The retail industry uses big data analytics to recommend customers on products they may be interested in buying based on what the customer is purchasing.
- Telecommunications services use big data sources like subscriber data and contacts to conduct data analytics to maintain their customers and promote their services.
- The healthcare industry consists of large data sets of patient's health records and such. Big data analytics are used to improve customer care and improve the industry.
Why Get Big Data Consultancy Services?
Carrying out big data analytics requires a large commitment of time and effort but it is rewarding. A recent research conducted in 2020 showed that 58% of companies that are data-driven are more likely to beat revenue goals than those that don’t. Additionally, over 30% of annual growth is experienced by data-driven organizations. Let’s delve into the basics of big data consultancy and what big data consultants do:
a). Big Data Integration
Big data integration is the gathering and collecting data from different sources such as social media or customer systems and merging them to get results used for for decision-making. The characteristics of big data: volume, velocity, and variety can make the big data integration process a bit challenging, and an effective data integration process requires a combination of expert consultants, advanced tools, and technology. Getting big data consulting services makes this process a lot easier because they have access to the required materials. Below is a comprehensive guide to the data integration process:
Step 1: Decide which data source to be used
The data consultant first identifies the data sources to be integrated. This data can be in the form of databases, Application Programming Interface [APIs], or social media. This step involves evaluating the potential cost of doing the integration, examining the relevance of the data, and choosing internal or external data sources.
Step 2: Extraction of data to the data source
After identification, data is extracted from its source using extraction tools or processes like querying databases. This step also involves transforming the data to be compliant with business requirements. Transforming involves activities like data cleansing. The refined data is then transported to its destination.
Step 3: Data mapping
Multiple data sets in big data can use different terminologies to communicate the same message. Data mapping is the process of connecting data fields from one source to other data fields in the same source.
Step 4: Data validation
The data validation process involves checking for errors and inconsistencies to ensure the precision of the information collected.
Step 5: Data governance
This step involves employing data governance practices to ensure that the data collected is compliant with the data regulation requirements.
Step 6: Data destination
This is the final step of big data integration which involves transporting the data to its destination where it can be used for analytics.
b). Analysis of Big Data
Collecting and storing large data amounts isn’t enough, to make meaningful conclusions, the data collected has to be analyzed. Big data strategy consulting services analyze big data to identify patterns using both advanced technology and traditional statistical analysis techniques to come up with decision-making ideas. The analysis of big data aims to:
- Determine the most important data points.
- Determine ways to make the most out of the information available.
Below are the steps involved in big data analysis:
Step 1: Define the research objectives
The first step of the big data analysis process is to define what the study aims to find.
Step 2: Data identification
The consultant should have extensive knowledge about the available sources. Identifying the sources can provide the data needed for the analysis.
Step 3: Data preprocessing
Data should be cleaned and preprocessed to make it usable. Consultants preprocess data using processes such as handling missing values and deduplication.
Step 4: Data transformation
Big data consultants transform this data into forms appropriate for the analysis process using operations such as summarization.
Step 5: Data integration
The data collected is integrated and then stored in the preferred data storage platform.
Step 6: Data analysis
Consultants use both traditional analytical and statistical tools and methods such as data mining to reveal hidden patterns in a data set. Data mining is the process of extracting and discovering patterns in large data sets. These patterns are then evaluated to come up with meaningful conclusions.
Step 7: Data visualization and reporting
Data visualization techniques like heat maps are used to present the analysis findings then they are presented to the relevant stakeholders.
Why Hire Our Big Data Consulting Company?
Our big data consulting services consist of expert consultants with extensive experience in big data analysis and can deliver accurate results.
Our services offer customized services according to our client's needs. Whether you need help with big data integration, collection, analysis, or market research, our consultants will sort you out.
Our services give after-analysis advice on strategic decisions we feel would be beneficial for your business to make the right most impactful decisions.
Our services are affordable to cater to different audiences and businesses ensuring they can get the most out of our big data consulting services.
Summary
The amount of data available is growing rapidly due to the advancement in technology with features such as Artificial Intelligence [AI] and the Internet. Businesses should leverage big data analysis if they want to grow economically, especially in today’s world. Most major companies use big data to generate revenue by using personalized ads to communicate to users on online platforms. Our big data consulting services can carry out a comprehensive analysis of your data and come up with strategic decisions. Our big data consulting company offers these services at affordable rates. Visit our website now to get started!