CIO Business Intelligence

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. AI is a fundamentally different set of technologies that requires a separate strategy and capabilities.” And a key facet of that is data management.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

IBM Big Data Hub

JANUARY 30, 2024

Manufacturing: Enable efficient and intelligent manufacturing processes to better scale production, reduce downtime and optimize strategies and operations. Get inspired A successful data center implementation can best be described as a distributed, dynamic, efficient and resilient IT nucleus.

Manufacturing 73

Manufacturing Business Objectives Optimization Risk Management 73

CIO Business Intelligence

AUGUST 23, 2022

They require simple platforms that enable rapid access to new technology to ensure the network meets the needs of their business. . Artificial intelligence (AI), machine learning (ML) technology, and flexible consumption models like network-as-a-service (NaaS) make it possible for organizations to respond effectively to these challenges.

Cost-Benefit 105

Cost-Benefit Business Objectives ROI Risk 105

CIO Business Intelligence

NOVEMBER 17, 2023

For IHG Hotels and Resorts, the cloud provides just the right accommodation for business success. For example, the demand forecasting model, which leverages Google machine learning capabilities, was developed in concert with Boston Consulting Group, says Eric Norman, head of infrastructure architecture and innovation at IHG.

Forecasting 132

Forecasting Consulting Data-driven Digital Transformation 132

CIO Business Intelligence

JUNE 21, 2023

How do you convince decision-makers to collaborate on linking IT strategy with business strategy? Align with business goals: Clearly articulate how IT initiatives can directly support the broader business objectives of the company and help gain competitive advantages.

Modeling 105

Modeling Cost-Benefit ROI Digital Transformation 105

Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. It is not strange to hear and know about companies adopting a cloud-first strategy in the short term. Why FinOps?

Analytics 80

Analytics Cost-Benefit ROI Business Objectives 80

IBM Big Data Hub

DECEMBER 14, 2023

Our approach to cyber resiliency Risk assessment and strategy : IBM emphasizes the importance of conducting a thorough risk assessment to identify vulnerabilities and potential threats. Continuous monitoring and learning : Cyber threats evolve rapidly, making it essential for organizations to stay ahead of the curve.

Risk 80

Risk Measurement Business Objectives Optimization 80

CIO Business Intelligence

DECEMBER 4, 2023

The ways modern data is used, processed, and analyzed are continuously evolving as machine learning technology becomes better at these tasks. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements. Artificial Intelligence

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

CIO Business Intelligence

AUGUST 9, 2023

Once a vanguard business strategy, digital transformation has become a perennial objective for business survival. A good digital transformation strategy is one that delivers incremental value within a comprehensive and formal framework,” Shah explains.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

MAY 3, 2022

Then they will find ways to track prices with analytics and adapt their pricing strategy accordingly. See how their understanding can lead to massive business benefits. As determinants of the pricing strategy, price points show their pros & cons and are often hard to properly assess. Witness the true story of price points.

Data Analytics 89

Data Analytics Analytics Big Data Sales 89

Smarten

APRIL 10, 2023

Decisions are made on a more timely basis, problem solving is easier and the business can avoid re-work and damaging missteps in the market. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

MARCH 30, 2022

While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible — along with an understanding of emerging technologies and how they can be used. Enrich to Empower.

Technology 98

Technology Internet of Things ROI IoT 98

CIO Business Intelligence

MARCH 13, 2023

With the added challenge for IT leaders in the highly regulated financial services industry is that data security and business resiliency are unassailable business objectives. Modernization efforts, if not planned and managed carefully, can conflict with compliance demands. You know you can’t get things wrong,” says Drouet.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

Jet Global

SEPTEMBER 4, 2020

Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders. That will undoubtedly open up some very exciting opportunities for innovation, but it is very different from financial and business reporting.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

CIO Business Intelligence

APRIL 19, 2022

Business objective determines the choice, in which enterprise architecture is a huge influencer.” — Ankit Thakkar | Automation & Finance Digitization Leader, Thermofisher. But if your business objective is purely task automation, RPA can do the job. There is no doubt that automation powers the autonomous enterprise.

Digital Transformation 111

Digital Transformation Insurance ROI Business Objectives 111

CDW Research Hub

NOVEMBER 12, 2020

As AI use cases start meeting their initial business objectives, initial infrastructure decisions can either accelerate the deployment of subsequent use cases or stall them. Businesses should be ready to adapt to these outcomes while being flexible regarding infrastructure. Consider on-premises and/or cloud processing.

ROI 79

ROI Deep Learning Machine Learning Business Objectives 79

IBM Big Data Hub

JANUARY 10, 2023

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. They also allow you to quantify business value based on improvements and allows you to assign and track key metrics with business objectives.

Management 52

Management Data-driven Data mining Business Objectives 52

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Validating Machine Learning Models.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

JULY 5, 2023

Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value. Here are some general strategies to use: Take advantage of reserved instances (RIS).

Optimization 65

Optimization Forecasting ROI Metrics 65

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

O'Reilly on Data

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. Data Exploration and Experimentation.

Marketing 361

Marketing Experimentation Metrics Testing 361

datapine

MARCH 31, 2022

Why Shift To A Business Intelligence Career? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. A firm grasp of business strategy and KPIs.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

JULY 31, 2023

About the Authors Mitesh Pate l is a Principal Solutions Architect at AWS with specialization in data analytics and machine learning. He is passionate about helping customers building scalable, secure and cost effective cloud native solutions in AWS to drive the business growth. Sumitha AP is a Sr. Solutions Architect at AWS.

Sales 52

Sales Data Warehouse Visualization Testing 52

IBM Big Data Hub

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Building a successful hybrid cloud strategy Every organization must contend with its own infrastructure, distinct workloads, business processes and workflow needs.

Strategy 96

Strategy Cost-Benefit Digital Transformation Optimization 96

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Yellowfin BI.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. It gives you the scope and perspective you need to map your current data landscape, identify gaps, connect data to business value and define what a data landscape that supports your business goals should look like.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. And the goodness doesn’t stop there.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 98

Strategy Data-driven Interactive Digital Transformation 98

datapine

SEPTEMBER 6, 2022

Like this, they define what is working and what isn’t and improve their strategies to succeed. For decades, businesses have been approaching the reporting process with static tools that make it way more difficult to extract insights at an appropriate time. Your Chance: Want to boost your strategies using data today?

Dashboards 179

Dashboards Reporting ROI Metrics 179

bridgei2i

MAY 19, 2021

So that’s how I’m seeing, and in that, you know, a marketing would like to drive some of the new strategy, but there could be a analytics team sitting in India, which will partner with them to drive that new customer acquisition plan. Venkat: Yeah, and we are seeing this with some of our clients as well, right? Venkat: Got it.

Enterprise 75

Enterprise Digital Transformation Marketing Cost-Benefit 75

CIO Business Intelligence

JULY 24, 2023

Meanwhile, Herlihy and his team are delivering more data-driven capabilities using machine learning and other data science technologies, collaborating with the business units to, for example, create personalized messaging and targeted marketing campaigns aimed at further boosting sales.

IT 98

IT Sales Business Objectives Marketing 98

IBM Big Data Hub

APRIL 5, 2024

Asset performance management (APM) strategy defines the balance between proactive and reactive maintenance tasks. The process of defining the optimum maintenance strategy is called reliability-centered maintenance. Asset criticality defines whether a preventive or predictive task is justified in terms of cost and risk.

Management 66

Management Risk Optimization Predictive Modeling 66

Cloudera

JULY 29, 2022

All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

Cloudera

NOVEMBER 25, 2021

Access to the same analytics and machine learning services in private cloud and AWS , enabling the movement of workloads and applications without refactoring. Customers are optimising workloads, leveraging analytics and machine learning to ensure greater governance and compliance. . The Power of Two. About the author:

Machine Learning 92

Machine Learning IoT Risk ROI 92