Adeptia Blog
Didn’t think integration could be good reading? Think again. We’ll have you laughing, we’ll have you crying, and sometimes, we’ll have you doing both simultaneously. But you’ll always leave enriched...with a new perspective on integration.
The new digitally-conscious customer has new demands. They are spoilt for choice, have higher, myriad, and mutable expectations, and vouch for personalized experience and transparency. To strive for...
You can be an excellent runner and still end up last in a marathon for a lack of a decent strategy or approach. No doubt, the uncharted territory of a marathon is draped with unforeseen issues or...
Digital transformation is one of the catalysts in the current evolution of enterprises. It is all about an evolutionary process that redefines and renders myriad facets of business, including growth...
An Omnichannel buying experience can be defined as a multichannel approach to serving customers with an integrated and cohesive sales experience. Customers can be involved in making a purchase...
There are many new Enterprise Service Bus (ESB) solutions front-and-center in the market and they are brimming with potential. They all look shiny from a cruising altitude, but there remains a...
2018 was a pivotal year for enterprises looking to turbocharge their business data handling. With business data being the lifeblood of enterprises, the theme was to accelerate data onboarding and...
Extracting usable, mappable data from a PDF is a tough nut to crack. Data organization in PDF suffers from multiple complexities. Often, data available in PDFs is not legible and is prone to errors...
This month we caught up with Sunil Hans, Adeptia Director who’s spent the majority of his career with state-of-the-art data communication technologies and telecommunication network solutions. In his...
Workday is an important strategic component enterprises need for Human Resource (HR) success. It is an incredible solution that houses core HR modules like employee data onboarding, payroll...
Ingesting, processing, and transforming multi-GB data into Data Lake is hard work and takes considerable resources and time to get right. Enterprise Data Lake frameworks might have become leaner...