Protect Your Data
The best solutions that are fit for your business.We support companies by protecting and enhancing their information assets to its full potential.Most organizations have invested or are planning to invest in resources to manage this data. Yet many are finding that with their existing traditional data management approach, the sheer amount of data is far too challenging to manage. The cost of managing this data has gone up but the return of these investments is steadily decreasing. This is forcing enterprises to rethink their traditional data management strategy.
Services
Data Architecture
Data backup is fundamental for companies. Indeed, your data is crucial and requires a daily backup in order to protect and preserve your activity. We offer remote backup solutions in order to protect your data as well as possible while sharing the backup costs. A good backup policy is a key element for the security of your company.
The tools, technologies and concepts to create, collate and manage data volumes
about
We make your data work for your business
Modern data management is a combination of abilities to ingest, model, manage and govern data to make them accessible at all levels:Optimal identification cloud data storage solutions, development and management of secure and robust data storage architecture (database implementations, data lakes and data warehouses).Our solutions will allow your employees to continue working remotely in complete safety with their usual tools.Development of tailor-made action plans for data transformation, the development and evaluation of optimal data processing platforms, and the data management development strategies on the cloud.Security measures implementation around the collection, storage and processing of data, carrying out assessments of the state of maturity and data quality and optimization of database performance.
In the end, a modern data management architecture does not need to replace services, data or functionality that works well internally as part of a vendor or legacy application. Instead, it is optimized for consumption and sharing data across.
Why choose us
Digital data analysis
Data Protect
Our data processing solutions
Data Governance
Need to have a strategy to govern big data. This is challenging because big data is so diverse, some of it is coming from outside the organization and it is generally complex.
As the volume of data increases, so do the responsibilities of data governance. Data governance now needs to be more self-serving, agile and fast.Need to take advantage of data discovery and data governance tools:
With Cloud becoming strategy for most of the organization. Data Governance extend or modify their policies and accountabilities to include data that resides in Cloud storages that can be private or public.Focus on value produced, not just methodology and processes.
Data Quality Management
With big data, quality must be evaluated based on the use case for which the data is being used for. As with analytics, the need for data quality can vary widely by use case. The quality of data used for financial consumption, for example, may demand a higher level of accuracy than data used for customer demographics.All Business are dealing with more and more big data which involves working with unstructured data. The data quality practices and techniques that we use for traditional structured data don’t work well for big data. In the traditional data quality world, we are geared toward cleansing data to improve content correctness and structural integrity.
Data Ingestion
There is an increase in share of data coming into the organisation with the invent of big data and social media data. Also, business roles with a drive to get more insights from new data sources are increasingly becoming interested in data ingestion capabilities which in the past was considered for more tech-savvy segment of the each company.Being a hybrid to converge data from both traditional and cloud-based applications.
Being agile, flexible and elastic with ability to support any kind of data integration & migration process - anytime, anywhere.Organization of stored data in Data marts; Data retrieval; Logical modeling of data; Dashboards construction ; Sharing and dissemination of Dashboards.
Having processes and tools to continuously handle data twists and turns over time.
Data Compliance & Protection
Data is no longer restricted within four walls of an organization. Systems and applications are becoming increasingly open and interconnected. With data growing at an explosive rate, modern businesses need ways to lower storage and operational costs and at the same time stay compliant to data protection regulations like GDPR to avoid hefty fines.Ideas,demonstration/Illustration, graphic exploration, data presentation, etc.
Data vision- getting both your idea generation sessions and your strategic decision making.Small and large companies need to look at data protection solutions that offer high performance, lower storage and operating costs, and inherent data security. They need to consider a big platform that offers ease of deployment, ease of management, storage efficiency, and the flexibility to leverage a multi-cloud environment.
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Aitech Data & Consulting
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