“Cloud-related technology is real and useful now. Practically every developer I know is either using or looking at cloud infrastructure in either private or public clouds.” -Alex Miller
Cloud Adoption is increasing rapidly and so are the challenges. The increasing demand of Identity and access management might twist security path for various organizations. IAM continues to become more complex as the volume of data is increasing. There are various
challenges being faced by companies are:
1.Sophisticated IT infrastructure:
The complexity of IT has increased and may continue to be more complex. The enterprises are not only becoming software defined, and also there is range of resources and application that corporate access including SaaS and cloud based apps.
2.Need for Identity Proofing:
As more users registers to use online services, need for identity proofing services will surge to significant level and organizations may face authentication challenges.
3.Rapid growth in mobile device usage
Mobile devices with advanced hardware security technologies are becoming widely available. This growth has become crucial part of identity and access management in enterprise adding problems of user authentication.
4.Big data is critical driver
Providing customers easy way to log in using credentials offers better user experience. Additionally, it permits enterprise to have valuable insight in customer’s behavior such as purchase tendencies, social interaction pattern, etc.
5.Compliance Visibility: Who has access to what?
It’s important to understand who has access to which applications and data. And, this concern increase when coming to cloud services.
“Customers require the effective integration of technologies to simplify their workflow and boost efficiency.” -Anne M.Mulcahy
Healthcare companies are facing various challenges to transform their organizations and remain competitive while managing patient’s health. Providers and payers have to change what they do and how the do it. There are various challenges being faced by healthcare companies and “integration” is major problem. Why? It reduces to three factors – complex standards to manage and exchange healthcare data, healthcare’s evolving regulatory environment and structure of healthcare industry. Here are key integration challenges that healthcare community is facing:
1.Healthcare Industry Structure
The variation among the healthcare organizations themselves is challenging structural aspect. For example, healthcare providers have small offices to large offices. Large entities may have implemented digitized systems, but small entities may still using photocopy records. If these photocopy records get lost then data is also lost. This complexity has led to creation of equally complex systems and applications.
2.Complex HL7 and HIPAA Data standards
As per regulatory bodies, it is mandatory for healthcare companies to strict to certain data standards. Two such of standards are Health Insurance Portability and Accountability Act (HIPAA) and Health Level Seven standards (HL7). HIPAA aimed to standardize healthcare communication by offering rules regarding formats, data definitions, privacy, security and management. Whereas, HL7 attempt to solve problems of identifying individuals in large healthcare system. The challenge with HL7 is that it can be interpreted in various ways. HIPAA and HL7 standards, compliance requires to stick to a complex set of rules.
To overcome these challenges, organization should invest in tools that can help organizations to position better to compete in changing healthcare industry.
“The most important single aspect of software development is to be clear about what you are trying to build”. -Bjarne Stroustrup
What is SDLC?
Software Development life cycle is expanded form of SDLC. SDLC is series of steps that provide a model for the development and lifecycle management of an application or software. The methodology of SDLC process can vary across organizations.
Benefits of SDLC
The aim of SDLC process is to develop product that is cost-effective and of high-quality. SDLC usually contains analysis, designing, development, testing and maintenance.
Phases of SDLC
1. Requirement analysis:
In this phase, business requirements are gathered and purpose of the software or system are determined.
In this phase, system and software design is prepared from requirement specification studied in first phase. It helps in specifying hardware and system requirements.
In this stage of SDLC, actual development starts. If design is performed in detail, then this stage can be accomplished easily. Developers have to follow the coding guidelines defined by organization.
In this phase, code produced during construction is tested using static and dynamic analysis. Products defects or bugs are reported, fixed, tracked and retested, until it reaches the quality standards defined.
Once product is ready to deploy, it is released in market. Sometimes product deployment happens in stages as per business strategy.
There are various types of SDLC models which are followed during software development process, and these models are known as SDLC models. Most important SDLC models followed in industry are:
- Waterfall Model
- Iterative Model
- Spiral Model
- Big Bang Model