MANAGING DATA AS AN ASSET CERTIFICATE
Education & Training (Online)
Big Data & Analytics; Robotics & Intelligent Machines
Under 500 USD$
Special Offer: $750 US
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The world is experiencing profound business, technical, and social / political / economic / environmental changes; perhaps more momentous than at any other time. Many of the most significant changes are associated with business analytics and big data, especially when combined with other emerging information technologies like cloud, AI, robotics process automation, Blockchain, social networking, mobile, cognitive computing, and the internet of things.
The integration of these technologies is the impetus for enterprise changes enabled and driven by IT beyond the traditional cost savings brought by business process and productivity improvement; it is the growing trend around the globe of leveraging IT for revenue generating initiatives that has made this so noteworthy. It is the overall return on information that is generating revenue! These initiatives are driving the most significant transformational changes for the next decade and beyond.
The courses in this certificate will focus on strategic data management matters such as governance, organizational/reporting, sourcing (including skills and human resources), security, legal, and building an integrated IT-business data strategy (including data, analytics, cognitive computing, robotics process automation, blockchain, legacy systems, etc.), as well as considerations for effectively starting/introducing a technology versus scaling up the use of the technology.
Candidates who register for the asynchronous online course may select at least 4 courses from the following (Noting: Courses 1 - 3 are required)
Course 1: Leveraging IT Resources: Information & Resource Management
This course takes a comprehensive information and resource perspective of business strategy by addressing the strategic, tactical, and operational roles and responsibilities across the business for managing data as a strategic business asset.
Course 2. Building & Managing the Data/Analytics Organization
This course addresses the organizational elements of the Data and Business Analytics (including cognitive computing and robotics process automation) functions by focusing on the management, structural/reporting, and human resource/skills considerations of data and business analytics.
Course 3: Aligning Data & Analytics With the Business Areas
While data is growing exponentially, every organization is discussing strategies that consider data as a strategic business asset. This courses focus on how to get the entire business effectively engaged to take full advantage of data, business analytics, and cognitive computing initiatives. Business leaders, suppliers, and customers have greater expectations than ever before as they demand that data and analytics are always available from anywhere, while maintaining high levels of security and privacy in compliance with all applicable regulations.
SELECT AT LEAST ONE (1) FROM THE FOLLOWING:
I. Managing AI Initiatives
The purpose of this course is to prepare IT and non-IT managers for creating effective AI strategies and plans that leverage AI and Cognitive Computing for competitive advantage. The focus of this course will be on learning the essentials of modern AI, leading industry current and future business application initiatives, and deriving AI deployment strategies, business cases, and plans, as well as considerations for organizational structure, sourcing, and governance processes.
II. Managing Blockchain Initiatives
The purpose of this course is to prepare IT and non-IT managers for creating effective Blockchain strategies and plans that leverage Blockchain for competitive advantage. The focus of this course will be on learning the essentials of Blockchain, preparing Management Professionals to lead industry current and future business application initiatives, and deriving Blockchain deployment strategies, business cases, and plans, as well as considerations for organizational structure, sourcing, security, legal, and governance processes.
III. Managing Robotics Process Automation Initiatives
The purpose of this course is to prepare IT and non-IT managers for creating effective RPA (Robotics Process Automation) strategies and plans that leverage RPA for competitive advantage. The focus of this course will be on learning the essentials of RPA, preparing Management Professionals to lead industry current and future business application initiatives, and deriving RPA deployment strategies, business cases, and plans, as well as considerations for organizational structure, sourcing, and governance processes.
IV. Managing Textual Analytics: Hearing the Voice of the Customer (Note. This course is only available face-to-face)
The purpose of this course is to equip IT and non-IT managers with the insights required to achieve and sustain business value through mining/leveraging textual data/information.
V. Managing Emerging Data & Analytics Technologies
This course focuses on the current and emerging data and business analytics tools, approaches, and related technologies (e.g., cloud, legacy services, data security/privacy, social media/networks, internet of things, mobile applications, cognitive computing, crowd-sourcing, standards), and how they can be integrated and leveraged. This is the most technical of the certificate courses, but it is still focused on data and business analytics management considerations.
Optional Electives Include
A. Building & Managing the Analytics Organization
B. Building & Managing the Data Organization
C. Building the Requisite Organization Structure for Data & Analytics
Who Should Attend
IT and non-IT executives (current & emerging) looking to prepare for the digital transformation.
Each online course has a final exam comprised of attaining at least 70% from 50 multiple choice questions taken after completing the online lectures.
After successful completion of this program, candidates will also receive ICCP Certification.
FAQs for individuals can be found via https://www.globaliim.com/faqs-for-individuals.