Business Analytics
“Consumer data will be the biggest differentiator in the next two to three years. Whoever unlocks the reams of data and uses it strategically will win.” – By Angela Ahrendts
Data Storage
Is your data important to your business?
Everyone, from small businesses that produce limited data to major corporations or organizations that retain a lot of data, needs to manage and store their data properly. We can make significant decisions using a tiny amount of data in addition to big data, as well. If you run a tiny firm, don’t underrate the worth of your modest data. We are here to assist you in discovering the contents of your unstructured or partially structured data.
Companies must know the most profitable item on their list. They want to figure out their customers’ needs. The only way to solve all of those issues is to switch to the digital world. For example, you have a website that is generating data. This data must be useful, or it is wasting storage space. We are helping you to have the best storage process, analyze your data, and get interactive dashboards and reports from your data. If you successfully apply those steps, it is a guarantee that you will make the best decisions for your business. Not only that, we are also securing your data. If you want, we can help you store your data on remote servers.
Related industries
Listed below are some of the industries that generate a large amount of data. We concentrate on supporting those sectors.
Governmental
Banking
Education
Insurance
Retail and wholesale
Manufacturing
Transportation
Healthcare
Your journey to success.
Different businesses produce different amounts of data on their products or services. The secret to the success of some businesses lies in interpreting the business concepts and attributes hidden in this data. Knowing your company’s strengths while your competitor is confused gives you a competitive advantage.
The proper handling, processing, analysis, and decision-making of data result in knowledge and highlight certain topics. instead of becoming perplexed while trying to identify the ideal product or service for your company. Simply determine what your clients’ demands are, and then work to adapt your company to meet those needs.
We are improving your data
Volume
The volume of the data is the amount of data that your business generates. It is measured in gigabytes, zettabytes, or yottabytes.
Velocity
Data velocity determines the speed at which your data can be retrieved and processed accurately. Data processing must be fast enough.
Variety
Variety is the consistance of data in different forms, like videos, images, text etc. It can be structured, unstructured, or semi-structured.
Variability
Data variability means that the data is constantly changing, making it impossible to consider the same data, so it needs to be differentiated.
Veracity
Data veracity means increasing the accuracy of the data, so anything that contributes to data inaccuracy must be addressed and fixed.
visualization
Data visualization involves reporting big data by using charts and visuals in order to facilitate understanding and decision making.
Data preparation
integrating datasets
Fixing data problems
Developing data strategy
Designing data architecture
Data storing and backing up
Data accessbility and security improvement
Preparing data for the next process
Service Details
Big Data Strategy
Our data strategy development services :
- How data will be used
- What type of data do you need to achieve your business goals?
- See how data is improving your product or service.
- how data is helping you meet customer interest.
- assisting with data collection, storage, analysis, and creation of insights
Big Data Architecture
Core steps in data architecture process:
- Assessing and understanding the problem.
- Selecting data architecture tools such as Handoop
- Using relevant API’s as intermediate connector
- Planning for data volume, recovery, etc.
Data Mining
Our data mining activities.
- Digging through large datasets to predict the future by using a range of techniques.
- Data cleansing and managing chaotic data accordingly.
- using suitable data mining and warehousing tools for each type of data.
Data Pipeline
The data pipelining criteria:
- Ensuring the automation process of data transfer from one source to the destination repository.
- Bringing together data from different data sources into one tool for further usage.
- streaming data from a data source directly to a target if needed.
- Creating an alert mechanism to double-check and monitor the process pipeline.
Data Modeling
Our data modeling process.
- A diagram showing the dataflow of data in the database structure as a simplification for controlling the processes.
- This helps to show the overall roadmap of your new software or previous one improvement.
- Helping businesses and organizations understand raw data and simplifying the decision-making process by using data analysis or analytics.
ETL
Our ETL services are:
- Extraction of data from its data sources such as databases, warehouses, CRM systems, clouds, data storage platforms etc.
- Transforming data by cleansing, sorting, and removing duplicates of the data prepares the data for the next process.
- loading data into the destination tool, whether it is a warehouse, analytics preparation, or any other form.
Data Warehousing
Our approaches to data warehouse
- Helping businesses and organizations have a warehouse as an archive of data.
- Periodically adding data to storage destinations.
- Comparing and analyzing heterogenous source data.
- Removing noise and mistakes caused by human errors.
- Using the applicable warehousing tool for each data set.
Data Security Improvment
How we are improving data security.
- Migrating data and storing it at a safe destination in order to keep away from any threat.
- Scheduled data backup to be used in the event that data is lost, if any
- Ensuring the utilization of the best methods of data recovery
- Monitoring data security by specialized experts
Analyzing Data for Decision Making
Process of analyzing.
- Defining the overall purpose of analyzing data and the impact this process will have on the improvement of the business or the organization.
- Unifying the various data sources into one tool to facilitate the process of analyzing data.
- Removing unnecessary and cleaning data from any error might occur to it.
- Ensuring that the decisions from the data are applicable and match the strategy of the analysis.
Data Visualization
Our way of visualizing.
- By using the most advanced visualization tools, you can easily interact with your data.
- Our difference is that we use unique and simple visuals to easily be understood by our clients.
- Easy to use by everyone, as well as saving time and a lot of resources.
- Easy use of visualized data on computers, tablets, and even cellphones
Data Reporting and Dashboarding
Our way of reporting and dashboarding
- Developing amazing and unique dashboards using limited space and consisting of the majority of the information.
- Dashboards and reports that are connected to the data source and have automatic update features.
- Professional reports that assist business owners in making decisions.
- Using the best business intelligence reporting tools, such as, Tableau, Power BI, etc.
Machine Learning and Automation
Our solutions are:
- Getting solutions for chaotic and big amounts of data.
- Producing important predictions from big data by using the best machine learning techniques.
- Evaluating the quality of decisions based on large amounts of unstructured or less reliable data.
- Automating tasks by using suitable automation tools in order to save time and energy.
