Big Data refers to the huge amount of information available that can be analyzed by computers in order to identify patterns and get meaning that might be too complex for traditional methods. In this article, you’ll learn what this means for businesses and how Big Data is already transforming different industries. Learning Objectives: Define what …
Big Data
This article intended to define big data and its related terms. This article first covers the three V’s of big data—high-volume, high-velocity, and high-variety—before describing how big data can aid in better decision-making for an organization. The article defines a variety of big data terms, but it focuses in-depth on different methods for analyzing unstructured …
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 …
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.
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 …
As far as big data is concerned, its impact on finance firms and Fintechs has been significant in the last couple of years. Studies show that without a shred of doubt. Whether it is online transactions, banking operations, dealing with loads of data, and making purchases using debit cards or credit cards, the finance companies …
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 …
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 …
The proliferation of data forces modern businesses to continually find new and more efficient ways to consolidate and transform various data sources to make more informed decisions and gain a competitive advantage. What are the best ways for businesses to consolidate all of their data? One answer: a data lake. This option can handle the …
This article will help you determine who should help, which resources you’ll need, and what success looks like for a catalog launch. Implementing a data catalog helps every member of your data community discover and use the best data and analytics resources for their projects, achieve faster results, and make better decisions. Data catalogs illuminate …
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 …
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 …
The use of AI and Machine Learning is expanding in every area of our lives, and it surely will stand out as one of the most important technology trends of 2019. The proliferation of Data Science jobs and Data Science courses is a testament to the fact that the domain has already become the next …
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 …
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
