Data is a company’s most valuable asset. Just look at Forbes’ World’s Most Value Brands list. No longer is a company’s worth evaluated by its tangible assets — data has changed all of that. Every business today relies on data. The ability to filter through volumes of data to capture true insights is critical to gaining a competitive advantage. Companies aspiring to deliver the best possible customer experiences must be able to unify different types of information, including behavioral, transactional , and operational data
Intapp Time provides superior business intelligence thatchangesyour firm’sfundamental relationship with time.Thisunified suite of applications gives timekeepers access to time data and capture wherever they are: in the office, on a mobile device, online and offline.It is user-centric, offering a completely automated option while fullysupporting hands-on tracking—contemporaneous or reconstructionist.Intapp Time helps your business mine time data to reveal new sources of revenue, inform staff decisions, increase project efficiency, and reduce time leakage.
Published By: Attunity
Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems.
To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC.
Read this book to understand:
? The rise of data lake, streaming and cloud platforms
? How CDC works and enables these architectures
? Case studies of leading-edge enterprises
? Planning and implementation approaches
Published By: Attunity
Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation.
Read Increase Data Lake ROI with Streaming Data Pipelines to learn about:
• Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud.
• Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store.
• Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights.
Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Published By: Attunity
Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights.
Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques.
Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
Learn how IBM’s change data capture technology can be used in conjunction with IBM’s performance management solutions from Cognos to provide access to the trusted information that systems and employees need to make informed decisions at the speed of business.