CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Roadmaps give employees a sense of direction, an explanation of purpose, and convey strategic priorities.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

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. However, the reality is that the “move to cloud” is a turbulent flight for many of them. But FinOps is not only about cost management and control.

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. 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.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Smarten

MAY 29, 2023

The concept of Citizen Data Scientist has been around a while now but some businesses still don’t understand the benefits and value this approach can provide. Affordable plans with flexible pricing to allow the enterprise to provide this functionality to all business users – you can get started for less than $10/month.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Rocket-Powered Data Science

JUNE 17, 2022

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it. This is what Splunk lives for!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Cloudera

JANUARY 5, 2023

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation defined Digital transformation has become a catchall term for describing the implementation of digital technologies to re-engineer existing processes or develop new services that better engage customers, support employees, improve business operations, and drive business value to the organization’s bottom line.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

CIO Business Intelligence

MARCH 15, 2022

“IT’s goal is to be the change agent that can knock down these silos, effectively unleashing the value of data from the edge to cloud.”. Data champion to the rescue. Today, a common operating model for data starts with a particular business stakeholder such as the CFO or a marketing lead initiating a specific request.

IT 98

IT Data-driven Digital Transformation Business Objectives 98

Smarten

MARCH 23, 2023

Gartner states that, ‘…90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ This prediction, coupled with the trends established in global corporations, tells us that Citizen Data Scientists and the use of data analytics is not going away.

Business Objectives 52

Business Objectives Consulting Enterprise Analytics 52

IBM Big Data Hub

JANUARY 5, 2023

Critical capabilities of modern high-quality data quality management solutions require an organization to: Enforce data governance across an organization by augmenting manual data quality processes with metadata and AI-related technologies. Perform data quality monitoring based on pre-configured rules.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Alation

MARCH 29, 2022

The request model started to fray. Slow requirements led technology leaders to demand proactive business intelligence. As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Ontotext

NOVEMBER 22, 2020

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

datapine

MARCH 31, 2022

Business acumen: Last but not least on our list of essential BI skills is a little something called business acumen. A BI consultant needs to provide expertise in the design, development, and implementation of BI and analytics tools and systems. Main Challenges Of A Business Intelligence Career.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JULY 22, 2019

When you don’t spend long hours gathering stats from all kinds of different formats, when your real-time data is always at hand, and when you have a clear picture of what’s going on at the moment, you can react faster and better. A BI tool is a binding element that unites your business objectives and resources. Yellowfin BI.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Anmut

MARCH 24, 2022

After decades in the background, data is currently king of the business world. Visionary companies like Google and Amazon are renowned for figuring out the transformational power of data, using data-driven business models to achieve extraordinary success. And that’s important.

ROI 52

ROI Measurement Data-driven Data Transformation 52

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. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

AWS Big Data

DECEMBER 8, 2023

To achieve a data sharing architecture, the plan was to first spin up consumer clusters for development and testing environments for their data engineers that were moving key legacy code to dbt. About the authors Sreenivasa Munagala is a Principal Data Architect at FanDuel Group. Ranjan Burman is an Sr.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

Smart Data Collective

DECEMBER 18, 2020

Some know how to filter this data, process it, and use it to cultivate their business. If you never dealt with data before, don’t worry, you have numerous data analytics tools out there that will allow you to reap the benefits of market and customer information. And what are the benefits of using big data exactly?

Big Data 137

Big Data Data-driven Business Objectives Marketing 137

CIO Business Intelligence

JULY 7, 2023

Improving employee productivity and collaboration is a top business objective, according to the 2023 Foundry Digital Business Study. They are expected to make smarter and faster decisions using data, analytics, and machine learning models. Here are their top tips.

Measurement 122

Measurement Risk Experimentation Enterprise 122

CIO Business Intelligence

FEBRUARY 6, 2023

SMBs that have undergone digital transformation are already generating data relating to these business operations disciplines. With the right BI features, they can derive insights that help meet their business objectives from those signals.

Business Intelligence 91

Business Intelligence Forecasting Marketing Sales 91

CIO Business Intelligence

APRIL 22, 2022

Cloud providers employ their own unique controls and subscription models, which can be confounding to organizations trying to rationalize consumption of compute, network, and storage environments across multiple clouds, traditional and cloud-native applications, and operations. .

Digital Transformation 52

Digital Transformation IT Business Objectives Enterprise 52

AWS Big Data

MARCH 26, 2024

Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. With Amazon Redshift ML , you can embed ML on top of the data stored in the data warehouse with minimum development overhead.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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. The hybrid multicloud model Today most enterprise businesses rely on a hybrid multicloud environment.

Strategy 98

Strategy Cost-Benefit Digital Transformation Optimization 98

datapine

APRIL 9, 2019

Furthermore, frequent reporting through HR analytics tools helps companies uphold their business culture, attract and retain employees, and provide them with invaluable knowledge while offering the astute ability to perform at their best potential. Aligning Business Objectives With HR Data.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

Cloudera

JANUARY 22, 2019

It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Shared Data Catalog to preserve context and enforce Governance.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Smarten

APRIL 21, 2022

When business analytics is brought to the team member level it can provide crucial support and an environment where team members can leverage their core skills and knowledge and combine that knowledge with Data Analytics to innovate, solve problems and support organizational goals. Benefits to Data Scientists.

Business Objectives 52

Business Objectives Data-driven Forecasting Optimization 52

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. Rather, they become part of the self-serve platform supporting data mesh for the storage and compute needs of each node.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Alation

AUGUST 9, 2021

percent) cite culture – a mix of people, process, organization, and change management – as the primary barrier to forging a data-driven culture, it is worth examining data democratization efforts within your organization and the business user’s experience throughout the data analytics stack.

Analytics 98

Analytics Data-driven Contextual Data Data Analytics 98