Digital transformation is not necessarily about digital technology, but about the fact that technology, which is digital, allows people to solve their traditional problems. It is a journey, of each individual organization, with multiple connected interim targets towards continuous optimization across processes, platforms and people in a hyper-connected age. Companies are challenged to evolve and build the right bridges between data from ‘things’ and decisions, people, teams, technologies and various players in ecosystems.
SInce digital transformation will look different for every company, it is hard to have a standard set of ‘technologies’ and tools that apply to all. It is a massive undertaking, especially for larger, established companies. When done right, it will produce a business that is more aligned with customer demands and resilient in the fast-moving digital future.
We focus on three interrelated work streams: Big Data Research, Advanced Data Analytics and Data Pipeline Integration. To deliver, we build a multi-disciplinary team with required CxO level experience, data science expertise and knowledge of latest platforms and tools.
Every client has a unique operating environment which makes every analytics project unique. Our team members hold advanced academic qualifications and backgrounds in a range of complementary fields. Bizness Analytis Inc. can act as a single use case advisor, implementor alongside your team for key tasks, or provide fully managed solution providing end to end support.
As companies adopt data acquisition tools in every department, their analysis capabilities are falling short and making it difficult to unlock data’s full potential.
The existing and new data solutions are moving to primarily cloud based services. However, the ability of companies to extract and load data across sources is preventing them from generating insights.
With proliferation of data collection tools and legacy IT systems, organizations are struggling with data fragmentation. The first step of building a data driven organization is to organize the data in a format required for analytics.
We help you build a robust data pipeline, a customized set of tools and processes, to extract data from multiple sources and insert into a data warehouse or analytical application.
The objective of any data application is to enable business agility.
The problem solving landscape is of shifting sands and is constantly evolving. At the same time, as no two businesses are alike, no two data architectures are alike too.
Hence, it is critical that the organization has a layer of data applications that can help them keep pace with the changing problem landscape and stay easily adaptable.
Put simply, the purpose of analytics is to use mathematical, statistical and machine learning methods to predict future events. These could range from likelihood that a product will be sold before it expires, a customer will take the offered promotion, predict potential network failures or to do preventive maintenance before breakdown happens.
Our team of data scientists and domain experts with extensive training to solve complex problems facing corporate managers.
Our Big Data Research Services are designed to help you at every stage in the data journey. You can use our full range of services as an end to end experience, or simply use our services to aggregate and delivery big data at your doorsteps.
Across the Data Pipeline
You can use any part or entire data pipeline services offered by us, as we provide a wide array of services, including: data capture, data storage, data warehousing, data lakes, data extraction, transformation and loading, application development, predictive analytics and dash boarding Services.
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