Best Master Data Management Software in the Middle East

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

Netwrix Enterprise Auditor automates the collection and analysis of the data you need to answer the most difficult questions you face in the management and security of dozens of critical IT assets, including data, directories, and systems. All organizations, regardless of size, require tools to help them manage and secure the various technology resources that power their businesses. However, no organization has the ability to afford, efficiently operate, or maintain separate point products for every technology they leverage. What they need are solutions that are flexible enough to bend to their unique requirements, while also providing the extensibility to deliver a common set of capabilities across multiple platforms within their IT ecosystem. Netwrix Enterprise Auditor contains over 40 built-in data collection modules covering both on-premises and cloud-based platforms from Operating Systems to Office 365.

Uncover hidden risk and reveal new, unexpected opportunities with graph analytics across the customer lifecycle. Standard MDM solutions are not built for high volumes of distributed, disparate data, that is generated by various applications and external sources. Traditional MDM probabilistic matching doesn’t work well with siloed data sources. It misses connections, losing context, leads to decision-making inaccuracy, and leaves business value on the table. An ineffective MDM solution affects everything from customer experience to operational performance. Without on-demand visibility of holistic payment patterns, trends and risk, your team can’t make the right decisions quickly, compliance costs escalate, and you can’t increase coverage fast enough. Your data isn’t connected – so customers suffer fragmented experiences across channels, business lines and geographies. Attempts at personalized engagement fall short as these are based on partial, often outdated data.