CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind.

Manufacturing 93

Manufacturing Data Architecture Strategy Data Strategy 93

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Yet Gartner reports that only eight percent of industrial organizations say their digital transformation initiatives are successful.

Manufacturing 81

Manufacturing Contextual Data IoT Digital Transformation 81

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

BizAcuity

MAY 16, 2022

For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy. So, make sure you have a data strategy in place. Data mining. Get in touch with us and get all your questions answered.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. New England College talks in detail about the role of big data in the field of business.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Peter James Thomas

APRIL 3, 2020

A skilled practitioner, hard at work developing elements of a Structured Reporting Framework. © I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. In my experience, Structured Reporting Frameworks are much misunderstood. Introduction.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Sisense

NOVEMBER 12, 2020

The reduced overhead and cost of ownership with cloud data warehouses often makes them much cheaper than traditional warehouses. Cloud data warehouses in your data stack. To answer this question, it’s important to consider what a cloud data warehouse does best: efficiently store and analyze large volumes of data.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Protecting their data and business while allowing more self-serve and access.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. 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.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Ontotext

MARCH 8, 2023

As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Cloudera

MARCH 28, 2024

Modern data architecture: A flexible approach is critical for building a modern architecture, with IT leaders recognizing the importance of data lakes or lakehouses for managing the large volumes of unstructured and semistructured data required for AI model training.

Data Architecture 94

Data Architecture Strategy Data Lake Data-driven 94

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. from 2022 to 2026.

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition. BI users create dashboards and reports in QuickSight.

Optimization 91

Optimization B2B Data Quality Sales 91

Domino Data Lab

APRIL 3, 2019

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Data coming from machines tends to land (aka, data at rest ) in durable stores such as Amazon S3, then gets consumed by Hadoop, Spark, etc. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. New data scientists can then be onboarded more easily and efficiently.

Data-driven 91

Data-driven Data Lake Data Warehouse Cost-Benefit 91

BizAcuity

APRIL 1, 2023

Data governance and security measures are critical components of data strategy. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Data governance and security measures are critical components of data strategy. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations. Data is susceptible to breach due to a number of reasons.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. They do not have a single view of their data which affects them. The Data Strategy.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

Alation

DECEMBER 14, 2021

How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? In summary, AWS powers next-generation analytics with the best of both data lakes and purpose-built data stores.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Ensure value with visualizations.

Unstructured Data 129

Unstructured Data Data-driven Visualization Data Quality 129

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. Cloudinary struggled to use this data for additional teams who had more online, real time, lower-granularity, dynamic usage requirements.

Data Lake 93

Data Lake Metadata Snapshot Analytics 93

Cloudera

SEPTEMBER 10, 2020

I recently came across a KPMG report that revealed that 80% of executives are increasing investments on emerging technologies now, to drive higher realized value in the future. Underlying digital transformation and investment decisions is a precious asset: data.

IT 104

IT Digital Transformation Business Objectives Data-driven 104

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Data Lake 79

Data Lake Enterprise Data-driven Data Strategy 79

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. When I first started focussing on the data arena, Data Warehouses were state of the art. Data Strategy. Best practice has evolved in this area.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

JULY 26, 2021

Auditabily: Data security and compliance constituents need to understand how data changes, where it originates from and how data consumers interact with it. data warehousing). Conclusion.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

AWS Big Data

FEBRUARY 27, 2023

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. Legal and audit groups may want to share reports and statements with the auditing agencies.

Enterprise 85

Enterprise Publishing Data Lake Management 85

BI-Survey

NOVEMBER 23, 2021

Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate. Data black holes: the high cost of supposed flexibility. Data Black Holes.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

MARCH 21, 2023

Use cases for analytics in travel and tourism How can travel and tourism companies use data analytics to improve business ROI? Below are a few examples demonstrating how these organizations wield data as a strategic asset for the business. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

MARCH 14, 2024

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose.  Netezza and Cognos now process over 5,200 reports daily, providing decision support for leadership across the business. With Netezza support for 1.2

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76