Rocket-Powered Data Science

FEBRUARY 15, 2023

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients).

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

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. Define clear objectives What problems does the organization need to solve? Present the AI strategy Present the AI strategy to stakeholders, ensuring it aligns with business objectives.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

BizAcuity

APRIL 1, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

FineReport

APRIL 9, 2024

Implementing BI Tools Successfully Best Practices for BI Tool Implementation Deploying business intelligence tools successfully involves adhering to best practices that align the software with business objectives and user needs.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

NOVEMBER 13, 2023

Failure to align technology capabilities with business goals can result in a wasted investment in technology that doesn’t support business objectives. Transformational leaders must ensure their organizations have the right systems and processes in place to collect, store, and analyze data effectively.

Digital Transformation 141

Digital Transformation Cost-Benefit Experimentation Measurement 141

BizAcuity

JANUARY 31, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

CIO Business Intelligence

NOVEMBER 2, 2023

Still, 94% of technical leaders say they should be getting more value from their data and 78% say their organizations struggle to drive business priorities with data. But if that’s not tied to the IT team and they’re not thinking the way that I think, it’s very hard to actually have an aligned strategy.”

Data Strategy 132

Data Strategy Strategy Sales Data Governance 132

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 110

Data Strategy Strategy Visualization Consulting 110

CIO Business Intelligence

JANUARY 20, 2023

Those that do so will find their data and applications to be force multipliers. Along the way, they will have implemented upgrades that keep data secure and accessible—imperatives for meeting IT and business objectives in the months and years to come. Ready to evolve your analytics strategy or improve your data quality?

Analytics 133

Analytics Key Performance Indicator Unstructured Data IoT 133

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. This requires a deep understanding of the organization’s strengths and weaknesses.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage.

Data Governance 110

Data Governance Management Metadata Risk Management 110

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Anmut

AUGUST 18, 2022

The goal of data investment. What is the goal when your business invests in data? There are several responses you might give: maybe you want to improve data quality, to enable better analytics, or to support better decision-making. The rise of (in)effective data investment.

Business Objectives 52

Business Objectives Risk Strategy Data Quality 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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. Just managing data without effective governance won’t cut it; analyzing data and presenting a dashboard without trust in the data won’t cut it.

IT 82

IT Data Quality Data Integration Metadata 82

CIO Business Intelligence

APRIL 6, 2022

A real-time data pattern guides architects, data engineers, and developers in change management. Reducing barriers to data access and complexity facilitates innovation with data. Complexity is the nemesis of data quality, trust and business speed. 3) The open source software pattern.

Cost-Benefit 130

Cost-Benefit Digital Transformation Data-driven Strategy 130

Ontotext

SEPTEMBER 1, 2023

Otherwise, they are like a black box, where very little is known as to how they arrive at answers and responses and organizations can lose control of private data, GenAI pipelines can get compromised, or applications can be attacked in subtle ways by hackers.

Risk 52

Risk Modeling Data Quality Data Governance 52

bridgei2i

JUNE 23, 2021

These include:lack of understanding of the business-centric use cases of AI, IT gaps,lack of skilled employees, issues in data quality, and resistance to incorporate new technologies into the framework. It enables them to identify how their business can best use AI. Identify KPIs.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

datapine

DECEMBER 17, 2019

If what you are reporting does not align with the wider business objectives, you might end up driving the IT department – and sometimes even the rest of the business – further apart. Quality over quantity: Data quality is an essential part of reporting, particularly when it comes to IT.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says.

Enterprise 132

Enterprise Cost-Benefit Forecasting Sales 132

Jen Stirrup

SEPTEMBER 30, 2021

This initial phase focuses on understanding the business value-add from a business perspective, then translating this knowledge into a data mining problem definition. This may also involve the generation of a preliminary plan designed to deliver the business objectives. What are we trying to achieve?

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing.

Metadata 86

Metadata Sales Data Lake Big Data 86

DataRobot Blog

MAY 26, 2022

Evaluating ML models for their conceptual soundness requires the validator to assess the quality of the model design and ensure it is fit for its business objective. Conceptual Soundness of the Model. Figure 6: Model lift chart showing model predictions against actual outcomes, sorted by increasing predicted value.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

JULY 28, 2020

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 361

Marketing Experimentation Metrics Testing 361

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. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Sisense

MARCH 19, 2021

Combining data, domain expertise, and an analytics platform opens up opportunities for “new revenue for your company and a ton of new value for your existing customers,” according to Sisense Managing Director of Data Monetization and Strategy Consulting Charles Holive. Data quality, availability, and security.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

datapine

FEBRUARY 22, 2022

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds.

Modeling 98

Modeling Metadata Data Governance Visualization 98

FineReport

APRIL 26, 2023

To choose the right big data analytics tools, it is important to consider various factors specific to the business. Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 64

Consulting B2B Cost-Benefit Sales 64

Alation

DECEMBER 15, 2021

Identifying, standardizing, and governing authoritative data sources. On the other hand, an offensive data strategy supports business objectives. Integrating customer and market data for planning future business goals. Measure data usage. Enforce consistent data quality.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

NOVEMBER 23, 2021

Detach the governance system from systems used to consume data, thereby decreasing its operational relevance. End up spinning out big-bang projects that too often spiral out of control and fail to deliver on business objectives. Organizations are governing data already, simply informally.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

IBM Big Data Hub

JULY 27, 2023

Data quality strongly impacts the quality and usefulness of content produced by an AI model, underscoring the significance of addressing data challenges. With a summary of business objectives, developers can spend less time learning about the business playbook and more time coding.

Management 57

Management Enterprise Modeling Data Quality 57

Alation

AUGUST 26, 2021

As lakes of data become oceans, locating that which is trustworthy and reliable grows more difficult — and important. Indeed, as businesses attempt to scale AI and BI programs, small issues around data quality can transmogrify into massive challenges. Data quality. Data governance. Data privacy.

Metadata 64

Metadata Data Governance Dashboards Software 64