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How to Improve Quality, Richness and Analytics of Data Lake

Without an appropriate data strategy or advance planning, data lakes can quickly become unmanageable, particularly as businesses evolve and capture larger volumes of data. Now you’re a step closer to building a higher quality, well-structured data lake that’s fit for the future. In this article, we’ll explore how to prevent your data lake from becoming …

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Create Customer-Centric Responsive Products with Big Data Analytics Solutions

What are you doing to improve your customer’s products usage experience? Data-enabled solutions enable software companies to deliver data-led customer-centric experiences, and gain operational scalability—providing application strategy and methodology is planned according to business needs. Read on this article to learn what place data applications have within the software development industry.

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How to Build Cloud-based Data Analytics Platform to Support End-to-End Data Journey

How does your organization’s current measurement of business metrics stack up against industry best practices? Data analytics leaders know that a cloud-based Data Analytics Platform (DAP) integrates various data sources into an enterprise-wide analytics system. This article outlines key tenants of a future-proofed data analytics platform illustrates how your business can adopt cloud technologies to …

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Mastering Full Lifecycle API Management with Data Analytics

Full lifecycle API management entails not only technology solutions but also the data-driven processes and mindsets that those solutions enable. For enterprises to succeed, it’s essential to have visibility into every stage of the lifecycle—from the developer experiences to API performance to emerging business opportunities. Data plays a huge role in aligning business and IT …

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Relationship between Business Intelligence (BI) and Advanced Analytics (AA) Capabilities

The Business Intelligence and Analytics Capabilities Report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organisations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills …

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4 Reasons Why Metadata is Broken and Changing the way you think about It

Metadata is more important now than ever. While new technologies enable business users to work directly with data, the consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined and …

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Limitations of On-premise Database and New Opportunity To Modernize Cloud Data Warehouse

You have BIG Data. Growing varieties, volumes, and velocities of data can strain your database and existing BI processes. Trying to cope with these increases will unearth platform limitations that are not easily overcome and can be expensive to work around because legacy on-prem systems were never designed to handle the pressures of modern data …

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Alternative Data Automation Adoption for Investment Management and Financial Markets

From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process. It enriches the structured data sets already acquired by investment management firms, fueling the potential for information advantage and providing a distinct differentiator in terms …

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