In today’s digital world, organizations face several challenges with respect to systems integration and user demands. Clients require something very different to enhance their customer experience with potential digital transformation. Thus, many clients are now looking towards cloud technologies to place their existing standalone data services and integration solutions.
Let’s review some of the major challenges with users and integrations, and how IDMC can help resolve them;
Businesses Demand Onboarding in Near Real-time or Live-stream Data
The process of extracting, transforming, and loading multiple databases and sources, and then pushing it back into downstream applications, expected to happen as soon as possible. Any delay can be a hindrance for business representatives from reaching out quickly, which has been widely examined as dramatically lowering the chances of the prospect converting into a client. Unfortunately any conventional way, besides to many other business methods, are not in a situation to quickly execute when handled manually.
Risks, Compliance, and Governance
There are always high chances of integrating a significant set of data considered to be confidential or proprietary or PII compliance. This can fall under banking transactions, customer data, employee information, company’s financials, patients or employee’s health Information. Failure to secure and protect this kind of sensitive data can significantly lead to several risks such as Market, Reputational, Operational, and Financials. This intends to leave your organization vulnerable to violating data security, data privacy, and protection measures like GDPR, HIPA, PII Compliances, etc.
More Code Requirement/Development Skills/ Timelines
The process of implementing and managing a high-volume of systems integrations and interfaces between organizational data warehouse, upstream sources, and destination systems, are extremely time-intensive when developed and performed in-house. This leads to utilizing employees on irrelevant tasks which is not bound to their actual skills, causing frustration and dissatisfaction as well inability to solve organizational problems.
Data Quality
Sometimes, the data we receive can be of bad quality due to distraction, misunderstanding, or wrong entries. Identifying and correcting these errors manually might be working when it comes to less data volume. However, with data volume bigger than expected, it makes the job more miserable and overwhelmed, causing damage to reports and business. Also, manually performing quality control is not a good practice in any form of familiar or unfamiliar ways.
Action-less Approach
There are so many challenges and even though several are addressed, there is no assurance that someone knows how to leverage the data and use it appropriately. Slipping of best implementation practices, lack of user knowledge, and the way logics are handled manually, etc. A required mechanism missing due to varying company size, industrial needs, etc.
Integration
Onboarding and migrating data from legacy systems, new systems from internal or external sources, different form of batch, real-time and streaming data becomes very complex to deal with their own nature of evolving issues. No matter what level of integration such as Manual, Middleware, Application-Based, Uniformity Access level, Commonly Stored technique, etc. are adapted still make things harder for various integration and without a proven or reliable tool it becomes a difficult and unreliable data delivery.
Overcoming any System Integration Complexity and User Demands with IDMC
Informatica – IDMC
Informatica – Intelligent Data Management Cloud (IDMC) is a cloud-based service which provides solution for data integration, management, governance, security, and analysis. It empowers data users by opening an independent, neutral, and complete solution for a multi-cloud, multi-hybrid platform. Also, it helps businesses efficiently handle the complex challenges of dispersed and fragmented data to truly innovate with their data on any virtually platform or any cloud. IDMC provides most comprehensive cloud-native, AI-powered, E2E data management, empowering organizations to reimagine and redefine the way they manage and innovate with their data.
Why IDMC?
IDMC includes several features as part of cloud services, providing solutions for many issues pertained to governance, infrastructure, monitoring, and scaling for all enterprise workloads with elastic and serverless processing.
Data Curation and Processing
Complexity of stitching multiple mapping and schemas together can be solved by integrating MDM tool, writing custom algorithms, and other non-value adding tasks. IDMC features can be leveraged with built-in, smart, and automated capabilities to enrich, harmonize, and master data easier and faster. Embedded machine learning helps organizations with their machine learning and artificial intelligence initiatives in a smarter way.
IDMC’s ability to provide unlimited consumption pricing, unlimited users, wizard-driven user experience, different ingestion, scheduling, orchestration, standard transformation, SOC 2 compliance, application integration, API management, data quality, data governance & privacy, data catalog, master data management, helps set pipelines with simplicity, high scalability, and security.
Ingest and Discover – There is no need to define a schema in advance. Not rushing to build structure and transformation out of sources. Not necessary to do all in advance. Index and search through the data immediately and thoroughly.
Curate – By skipping up-front data modeling before ingesting, primary focus should be harmonizing and enriching organization data for specified use case. Then iteratively harmonize more data over time for future use cases.
Access – Easily access data for any organization’s downstream systems and applications with full transactional consistency and enterprise grade security. Build a DevOps platform focused more with standardized APIs and other tools to enable fast application development and deployment to any environment.
Data Retention/Data Rejection/Data Masking – While ingestion, work over the mechanism of identifying the sensitive/non-sensitive information at semantic level. Also, apply any masking methods and also make it a continuity for future processing. At the same time, set the pipelines and layer to retain the data, archive needs and eliminate the duplicates at pre-processing level. This helps to reduce cost and also make the environment more stable, adjustable, and easily scalable.
A Modernized Cloud Platform
IDMC is an industry-first cloud-native platform designed to help businesses to truly innovate with their data virtually on any platform or any cloud. It provides several cloud data integration services that are critical for centralizing data in your cloud data warehouse and cloud data lake environments. There are many capabilities and key areas which rapidly help data ingestion and integration with an intuitive visual development environment with Informatica Cloud Mass Ingestion.
Each of the services within the Informatica Intelligent Data Management Cloud (IDMC) platform offers Data Integration, API & Application Integration, Data Quality, Master Data Management, Data Masking and Data Governance, Data Catalog, and Marketplace, helping clients solve their critical problems.
