Kodak Alaris to shed light on tackling ‘data chaos’ at GITEX

DUBAI / Emirates Business

As Middle East organizations embark on their digital transformation journeys, Kodak Alaris intends to highlight how it can solve their information management challenges through its participation at GITEX 2016. Under the theme ‘Digitize your City’, the company will showcase its latest solutions for reigning in Data Chaos to enable core business functions — from marketing to logistics to finance — to reduce costs and improve overall results.
Kodak Alaris will host one of GITEX’s ‘Breakfast Briefings’ on the 17thof October for a select group of CIOs from the financial industry. The company will also showcase document and information management solutions for the Government, Healthcare and Business Process Outsourcing (BPO) segments.
A major challenge for businesses in recent years has been the exponential growth in the volumes of unstructured data, which is not only more challenging to manage, but is often overlooked for data analysis. “Organizations today are managing data from more sources, and increasingly the nature of this data is unstructured – leading to what we call Data Chaos,” said David Whitton, regional sales director for Middle East and Africa at Kodak Alaris. “Digital transformation presents a clear roadmap to address these challenges. Done right, it will optimize critical business processes by enabling rapid analysis of data. This in turn can result in increased top-line profits and a distinct competitive edge.”
Kodak Alaris will use GITEX as a platform to unveil innovative solutions such as the Kodak i5850S Scanner, its new high-volume production scanner that offers three-pocket sorting capabilities, designed for the extreme scanning demands of service bureaus, business process outsourcing organizations and corporate scanning departments. The scanner, with integrated stacking and unlimited volume capacity – offers meaningful benefits, including saving of money, time and trees by reusing separator sheets. It also automatically separates short documents from other pages detects and separates multi-feed documents, and flags documents that need special post-scan handling.