DataManagement Services
Making your data business-relevant for any user, at any time, anywhere
We offer a full range of big data consulting and implementation services, enabling your company's torrents of data to be used by all employees. Regardless of skill levels, our goal is to deliver insights to you promptly and in an understandable style. We wish to provide you with the greatest big data solution, from data management techniques to reducing the cost of massive data storage & transport, de-identification, synthesizing, enabling governance, and enabling analyticsa systems meeting the specific needs of your industry.
We offer high value flexibility when it comes to the scope of our data management services., whether you need to create a data infrastructure from scratch, move your data to the cloud, or find security and compliance gaps in your data structures, we are up for the challenge!
Our Features
Data Science
We turn structured and unstructured data into understandable graphical metrics that can influence business decision. Our engineers make results clear for non-technical users by illustrating the outcomes. Our development teams connect big data analytics into your company's current procedures while automating data processing.
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Enterprise Data Management & Storage
We'll work with you to develop a flexible data storage solution that grows with your organization, whether you wish to store your data on-premises or in the cloud. To ensure that you always have access to organized and cleaned data, we construct data lakes, data warehouses, and end-to-end data ecosystems, some of which are powered by AI.
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Personal Data Protection
As guided by National Data Management Office NDMO we help our customer to comply with all 5 controls and 10 specifications.
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Data Architecture Optimization
We can assist you in redesigning your data ecosystem to enable the seamless flow, management, and consumption of the rapidly expanding volumes of structured and unstructured data while optimizing instance usage and storage costs if you are having problems with the performance or costs of your data infrastructure.
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Master &Metadata Management
We keep in mind not just your corporate assets but also metadata. We create standards and data quality measurements, establish protocols for simple data access, navigation, and sharing, and build a master and metadata management plan.
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Data Governance
To support your whole data journey, from data collection to storage to analysis, we provide comprehensive data governance services. We'll establish a data strategy, specify all required steps to ensure data security, privacy, and quality, and oversee their execution.
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Data Integration
You may rely on us to assist you in combining data from several sources into a single, unified data repository. We'll set up data cleansing, ETL, and data transformation procedures so you can access all the crucial data in one place and benefit from precise and useful business analytics.
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Data Quality Management
To make sure your decision-making is as trustworthy as possible, we'll assess your data management procedures and the accessible data. We'll examine your data management process for accountability and transparency and determine whether your data is comprehensive, legitimate, distinct, correct, and consistent.
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AI & ML
We provide processing, manipulation, and even filtering of the data in accordance with your demands in addition to data intake and scalability possibilities. To advance your data inference, make use of the ML/AI capabilities included in our solutions.
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Data Transfer Cost
For many firms, accruing significant data transfer fees is a major hardship. Ascend meets and doesn't exceed the challenge of reducing this transfer cost. It is not necessary for large datasets to employ expensive and limited bandwidth for lower environment testing, troubleshooting, analytics, and other purposes. Instead, provide a data signature that is smaller than huge data, hides sensitive data, and is security-ready. At the other end, synthesized big data might be built using this signature while still keeping the original dataset's properties.
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