If reports are to be believed, 59% of decision-makers report that their main data challenge is integrating modern data architecture to meet today’s business requirements.
MODERN DATA ARCHITECTURE
Data architecture is the process of regulating how companies collect, store, modify, and distribute data. The goal is to deliver meaningful data to the people who need it to accomplish business tasks.
As the day-to-day operations of IT move aggressively towards cloud and automation, technology-minded people within the organization should be at the forefront of figuring out what is next in terms of the business opportunity that next-generation technology can bring.
Successful organizations will not start with an IT strategy but with a business strategy with IT at its core. Any business strategy should include using technological solutions-infrastructure, software, and platforms to help advance an organization’s ambitions and strategy profitably.
There are significant changes only just starting, but all driven by the ubiquitous availability of a computer, storage, analytics, and other fundamental cloud services. As technology shapes the way we work, play, and live, it also shapes interaction and connections-mostly for the better.
Organizations are finding new ways to connect with their employees, customers, suppliers, and partners by tapping into the applications and technologies powered by new digital innovations.
Getting the most out of the treasure trove of data means being open to experimentation and innovation. Governance in the cloud-driven digital age means building data awareness and encouraging creativity within an environment of compliance.
The move from a highly controlled environment to one with a dynamic structure and more room for experimentation – mirrors the revolution many organizations are seeing with either IT departments or the roles they play.
Not only are new digital technologies enabling the democratization of innovation by offering speed, scale, and stability, and at the same time opening the door to the democratization of data by creating a secure distributed way to share information across a wide swath.
But what is so modern about this data architecture? Well, this data architecture is consisting of three major components:
-The Data Warehouse
-The Data Lake
-The Data Marts
Data Architecture Objective
- Defining the data vision by converting the business needs into technical needs.
- Defining data architecture, data models, security tags, and master data.
- Define a proper structure of data flow, that decision-makers can use to improve the overall data processing system.
- Defining the flow of data that regulates which part of the organization generates data and which part of the organization will use it. And how this data flow will be managed.
Characteristics of Modern Data Architecture
User-driven:
Previously, data was static and access was limited. But in modern data architecture, decision-makers can confidently define the requirements and create solutions to meet business objectives.
Built on shared data:
Effective data architecture enhances business collaborations and eliminates silos by combining all the data in one place. In such an environment, data is not exchanged among business units and seen as a shared asset among all.
Automated:
Automation eliminates the tension that made legacy data systems tiresome to configure. Procedures that took months to develop can now be finished in hours.
Driven by AI:
Smart data architecture will take automation to the next level and use ML (machine language) and AI (artificial language) to recommend new business solutions. The AI-based software can identify data types, and fix errors quickly, and recommend familiar data sets and analytics.
Simple:
Simplicity is the best policy for efficient data architecture. You should strive for simplicity in data movement, data assembly framework, and analytics platforms.
Elasticity:
This will allow companies to scale up or scale down as per need. Here, the cloud is your best friend, and it will allow organizations to focus on problem-solving to keep up with increasing demand.
Secure:
The modern data architecture is fully secured, ensuring that data architecture will issue advanced alerts about the emerging data threats and ensure safety compliance with HIPAA and GDPR.
As technology drives innovation in all parts of an enterprise, CIOs are relinquishing control and working instead to provide a governance model and advisory services to ensure each business leader is getting what he or she needs from the available tools at hand.
We at Integrative Systems, addresses the needs of modern data architecture for speed and agility into the system and enable organizations to unify their data.
OUR SOLUTIONS
Business Transformation
Business transformations are bold technological shifts that companies make to speed up growth beyond typical incremental innovations to achieve measurable enhancements in efficiency and position the organization ahead of competitors.
Business Application Strategy
A responsive and robust business application strategy offers your company the ability to adapt to changing business requirements and quickly reduce market time. At Integrative System, we help the organization to make strategic business decisions through an informed process.
Business Process Optimization
Business process optimization is one of the methodologies that advocates for making the existing process more efficient. So, to make it work, you can connect with Integrative Systems, as we can optimize your current setup.
Data Management
Lack of proper data management technique on board can lead organizations to insolvable problems. So, an effective data management technique is required to help organizations make more informed business decisions and reduce overall business costs.
Advanced Data Analytics
For newcomers, advanced data analytics can be a complicated term, but it's a simple concept. It means a collection of techniques used to mine a company's internal and external data and yield valuable information that can drive enhancement in the business process.
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