CIO Business Intelligence

JANUARY 20, 2023

And to give employees access to the data they need, organizations will need to move away from legacy systems that are siloed, rigid and costly to new solutions that enable analytics and AI with speed, scalability, and confidence. Those that do so will find their data and applications to be force multipliers.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

CIO Business Intelligence

MARCH 19, 2025

For example, reducing redundant data storage or optimizing cloud resource usage can lead to financial and environmental benefits. Encourage cross-functional collaboration : Partner with IT, operations and finance teams to align data-driven sustainability efforts with broader business objectives.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

JULY 2, 2024

Slash repetitive tasks AI can significantly enhance IT team productivity by gaining control over routine tasks and optimizing processes, says Henrique Ribeiro Delgado da Silva, data head at data science and software development firm Loka. “By

IT 143

IT Machine Learning Cost-Benefit Data-driven 143

CIO Business Intelligence

JULY 23, 2024

One approach is to define and seek agreement of non-negotiables with the board and executive committee, outlining criteria of when upgrading legacy systems must be prioritized above other business objectives. Many want all the benefits from analytics and machine learning but are slow to adopt proactive data governance.

Risk 142

Risk IT Risk Management Cost-Benefit 142

Jen Stirrup

OCTOBER 28, 2019

They also need to consider their ROI over their data; their Risk of Incarceration (thank you to Karen Lopez for that one!). It is part of a wider strategy known as data governance. What is data governance, anyway? Without data governance, it is hard to have robust business intelligence, data science and artificial intelligence.

IT 85

IT Business Intelligence Data Governance Data Science 85

CIO Business Intelligence

MAY 7, 2024

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. In many cases, CDOs focus on business objectives, but in other cases, they have equal business and technology remits, according to the authors.

Data-driven 131

Data-driven Data Strategy Data Quality Data Governance 131

datapine

MARCH 31, 2022

BI developer skills encompass crafting and executing data-driven queries upon request as well as the ongoing technical development of a company’s BI platforms or solutions. Here is a more specific rundown of BI developer skills: Demonstrable experience in the areas of BI development or data science. Yes, they exist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Rocket-Powered Data Science

JULY 21, 2023

From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Dataiku

NOVEMBER 27, 2020

The Chief Data Scientist sits at a unique crossroads between the data science team and the rest of the C-suite and senior management. As a result, the Chief Data Scientist needs to be able to bridge the gap between business objectives (from initial strategy planning to reporting on KPIs) and data projects.

Business Objectives 55

Business Objectives Data Science Strategy Reporting 55

Andrew White

JUNE 11, 2019

Some might conclude this is a new trend; some might look back at the days when SAP acquired Business Objects and IBM acquired Cognos and Oracle acquired Siebel. Data Management. Data and Analytics Governance. I am not sure myself what, though the hype related to the moves is exciting.

IT 82

IT Data Quality Data Integration Business Objectives 82

CIO Business Intelligence

AUGUST 20, 2024

We’re now entering a new gen AI era, which is already impacting how we staff teams, their business objectives, and the tools they use to deliver innovations. But most enterprises can’t operate like young startups with complete autonomy handed over to devops and data science teams.

IT 141

IT Digital Transformation Experimentation Risk 141

Juice Analytics

OCTOBER 1, 2018

Nevertheless, they are sitting on tons of valuable data that can shape conversations and influence the decisions of their constituents. We’ve worked with Chambers of Commerce, Universities, and State Departments of Education that are taking on offensive data strategies.

IT 84

IT Snapshot Data Strategy Consulting 84

CIO Business Intelligence

JULY 24, 2023

Herlihy is now scaling that data work: “We built all of that for North America, which is our biggest region, but now we can take those platforms to Europe, Asia, and Latin America and expand it around the world,” he says. Co-creating with their business unit colleagues.

IT 98

IT Sales Business Objectives Marketing 98

IBM Big Data Hub

DECEMBER 20, 2023

An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives. It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

CIO Business Intelligence

FEBRUARY 6, 2023

One issue is that small businesses rarely have enough resources to set up a dedicated data science (DS) team, nor can they afford to bring in temporary consultants,” said Itzik Levy , CEO of small business management software vcita. Most technology functions of businesses today are SaaS-driven.

Business Intelligence 91

Business Intelligence Forecasting Marketing Sales 91

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. Team members can bridge the gap of data science skills so they don’t have to wait for IT or data scientists to help them produce a report or perform analytics.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Data Science 52

Decision Management Solutions

AUGUST 8, 2019

“Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models. Indeed, building machine learning models that can be, will be, trusted is regarded as a critical issue for many data science teams.

Machine Learning 60

Machine Learning Data Science Modeling Business Objectives 60

datapine

FEBRUARY 22, 2022

4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. KPIs are measurable values that show how effectively a company is achieving its business objectives.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Apart from pricing, there are numerous other factors to consider when evaluating the best AI platforms for your business.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Data Virtualization

SEPTEMBER 12, 2024

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.

Data Integration 52

Data Integration Business Objectives Data-driven Management 52

DataRobot Blog

NOVEMBER 8, 2022

To solve this, we use data science tools to identify the right leading indicators across the different levers that we can pull to support faster decisions—using methods that establish causation to the larger business objectives of their clients. See DataRobot AI Cloud in Action.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Jet Global

MARCH 5, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube).

Business Intelligence 75

Business Intelligence OLAP Visualization Machine Learning 75

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

Smarten

APRIL 21, 2022

Alignment with Business Objectives and Metrics. Benefits to Data Scientists. Reduce Daily Requests from Business Users. Ability to Focus on Projects Requiring 100% Accuracy and Data Science Tools and Knowledge. Reusable, Sharable Analytical Models to Encourage Collaboration.

Business Objectives 52

Business Objectives Data-driven Forecasting Marketing 52

AWS Big Data

AUGUST 6, 2024

Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS. He helps customers architect and build highly scalable, performant, and secure cloud-based solutions on AWS.

OLAP 110

OLAP Analytics Visualization Dashboards 110

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Steps for developing an effective data strategy include: 1.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

CIO Business Intelligence

FEBRUARY 14, 2024

Rather than facilitating value extraction from data at the speed and scale needed for real-time intelligence, they silo the process to a limited few. This inability to extract meaningful insights from data at scale impedes the capacity to gain the decision intelligence necessary to meet evolving business objectives.

Data-driven 72

Data-driven Uncertainty Enterprise Data Warehouse 72

IBM Big Data Hub

JANUARY 10, 2023

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. It can show whether perceptions are real, as well as unearthing unexpected insights. Making it stick: Driving continuous change.

Management 52

Management Data-driven Data mining Business Objectives 52

AWS Big Data

MARCH 26, 2024

You can build them using Amazon SageMaker , which features a suite of managed services mapped to the data science lifecycle, including data wrangling, model training, model hosting, model inference, model drift detection, and feature storage. Sandipan Bhaumik (Sandi) is a Senior Analytics Specialist Solutions Architect at AWS.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Sisense

MARCH 19, 2021

Data strategies vary from organization to organization, but across industries they typically contain components such as: A strong data management vision: “What do we want data to do for us?”

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Jet Global

AUGUST 14, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube).

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives).

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

AWS Big Data

MAY 4, 2023

The amount of data and the number of power plants they need to collect data are rapidly increasing over time. For example, the volume of data required for training one of the ML models is more than 200 TB. Younggu Yun works at AWS Data Lab in Korea.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Alation

DECEMBER 15, 2021

This includes where the organization stores, processes, and transmits it (details an organization must be ready to share with auditors, or increasingly, with individuals whose personal data has been captured and seek to have a say in how companies use it.). At the same time, it enhances data security and compliance programs.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Rita Sallam

JULY 22, 2016

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Research VP, Business Analytics and Data Science. In BI we have had our seminal moments too. Enjoy your summer!! Regards, Rita Sallam.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Cloudera

JANUARY 22, 2019

An organization needs a unified data management and analytics platform that can support its business objectives. Cloudera Enterprise is a one-stop shop for running analytics models and algorithms against multiple data sources across on-premises and cloud, and sometimes real-time data sources. Source: Cloudera.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44