IDC has a complete focus and specialization in data management
solutions, services, and consultancy covering the wide spectrum of
technologies, platforms, and product required to govern and manage the
enterprise data assets.
Data Governance
Data governance is a collection of processes, roles, policies, standards, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals.”Gartner’s Definition” IDC team has a long record of practical experience enabling customers in the region building their data governance frameworks including the initial data governance maturity assessment and gape analysis. This is in addition to delivering the required consultancy and implementation services for the different data governance dimensions and pillars like roles&responsibilities definition, accountability and RACI matrix definition, business glossaries, rules&polices, data cataloging, metadata management, data quality, master data management, and data privacy management. IDC is leveraging the market leading data governance products and technologies like Informatica, Collibra, IBM, TIBCO, Alation …etc. when it comes to data governance consultancy and data management strategies, IDC is adapting and proposing DAMA “Data Management Association” standards and methodology through strategic global partnerships with key global DAMA fellows and directors.
Data Quality
Data Quality program is a continuous process of data profiling, cleansing, standardization and monitoring to make sure that data captured and stored meet the targeted level of quality and fits with the organization different operational and analytical purposes. IDC provides the required consultancy, implementations, and products to implemented a complete and holistic data quality program. IDC team is leveraging the previous successfully implementations across different industries like banking, government, telecommunication…etc to accelerate the customer data quality implementation journey with ready to implement industry-oriented data quality business rules.
Master Data Management “MDM”
Master data represents the critical master business entities scattered across the organization different systems like customer information, product information, reference data…etc With a master data management MDM solution, master data will be integrated, standardized, cleansed and unified into one central repository of trusted master records (Golden Record). Successful MDM implementation will also include multiple other dimensions like Data Quality, Data Services, and Data Governance. IDC provides the required consultancy and implementation along with the best of breed MDM technologies to enable customers building their master data management hub.
Data Lake & Big Data
Data lake is a key component of a modern data management strategy. Data lakes unlock the full potential of the data by integrating, managing and analyzing data irrespective of its volume, structure or velocity. IDC delivers a complete data lake platform implementations covering the different aspects and requirements to succeed with a data lake implementation journey which starts by defining the right business drivers and use cases, defining the proper tuned architecture, adapting data governance and data quality practices, and selecting the right technologies and products for the different technical layers like cluster setup, proper file structure, data processing layer , NoSQL systems, data ingestions and streaming…etc.
Data Science &Machine Learning
Machine learning (ML) is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making outside of human interaction IDC data engineering and data science team are leveraging the market leading technologies and algorithms to enable customers across different industries in the region like banking, telecommunication, retail, healthcare, government…etc. to leverage machine learning and artificial intelligence practices to fulfil and manage complex analytical requirements like Anomaly detection, customer insights & behavior analysis, upselling/cross-selling, customized product offering, risk analysis, fraud detection, predictive maintenance, planning and forecast …etc.
Data Engineering & Data Integration
Data engineering and data integration are the backbone for any data management platform, responsible of extracting, processing, and delivering data from different systems, different formats, different technologies, and in different latencies (Batch or Real-Time). IDC delivers the required services and products to integrate and stream data at scale supporting the different data integration approaches like Batch ETL, Hadoop/SPARK Based Data Engineering, Event Based Streaming (KAFKA, JMS), Real-Time Data Integration CDC, IOT MQTT Data ingestion, social media Streams, …etc.
Data Warehousing & BI
Data Warehousing and BI enables customers to understand, analyze and plan for their business decisions and business actions by analyzing the wide and scattered enterprise data after being integrated from different source into a central data warehouse designed and optimized to support such analytical requirements. IDC team provides the required expertise, SMEs, and consultants to build and model the enterprise data warehouse following the best practices and standard modeling approaches that fits and align with the targeted analytical requirements. This is in addition to the foundation data integration layer (ETL/CDC) that will integrate and load data from different sources into the Datawarehouse. IDC team also delivers the BI and Visualization layer implementation on top the Data warehousing solution using the market leading products like Tableau, MicroStrategy, PowerBI…etc.
Data Privacy Management “DPM”
Data privacy management frameworks helps organizationsto assess and measure data privacy compliance and adhere to privacy standards and regulations like (HIPAA, GDPR,CCPA,KSA Data Privacy Law, etc.). IDC provides the different DPM consultancy services and implementations required like maturity/compliance assessment, data classification, personal and sensitive data discovery, data privacy principles/policies definition, data privacy controls and procedures definition, DPIA, consent management, subject rights implementation, dataprotection&maskingimplementation and data retirement. IDC delivers the different data protection and data privacy consultancy in cooperation with global specialized partners and regulatory inspectors (GDPR Practioners, DPO Certified SMEs , …etc).
Data Archiving & Retirement
Data archiving is the process of identify inactive and unused data (Cold Data) and moving it into another secured archive data storewhere they can be accessed and retrieved if needed which improves the production systems performance and reduce the operational and backup overhead. Legacy and obsolete data should also be retired based on predefined retention period and polices to meet the different regulations like GDPR. IDC provides the required consultancy and implementation services to assess, define and implement data archiving and retirements rules and policies against different operational systems. IDC is leveraging different archiving approaches and alternative like archiving data into inactive relational DBMS, archiving data into compressed files, archiving data into Hadoop HDFS….etc
Operational Data Store “ODS”
Operational data store is a central hub for critical operational data integrated in real-time from key operational systems to support and serve operational and analytical requirements across the organizations (e.g. Operational Dashboards) in agile and real-time mode with minimal impact on back-end systems. IDC provides the required consultancy, analysis, modeling, real-time data ingestion (KAFKA/CDC) and data services implementation required to build the ODS platform and synchronize it in real-time with backend systems in addition to building the data service layer required to publish the operational data in real time through standard services layer.
Data Virtualization
Data virtualization (Data Federation) is an approach to data management that allows to integrate all enterprise data siloed across the disparate systems and technologies through a logical virtual layer and make it available for standard and direct user access in a managed, governed and secure mode. IDC delivers a complete data virtualization solution deployment and implementation using the market leading data virtualization technologies like Denodo, TIBCO , IBM ..etc to enable our customers consuming the enterprise data scattered across different systems and data stores transparently regardless of the data structure ,data type, technology , data location (OnPrem /OnCloud) which archives themaximum flexibility and agility consuming data while serving different uses cases like the Customer 360 view , Logical DWH , Logical Data lake, Data Services layers ..etc