The Accidental Successful CIO

MAY 12, 2021

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

QBurst

MARCH 13, 2019

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. The post IoT Analytics: The New Frontier in Business Intelligence appeared first on QBurst - Blog.

Business Intelligence 75

Business Intelligence IoT Analytics Data Engineering 75

TechCrunch

DECEMBER 9, 2020

An alumni of Silicon Valley accelerator Y Combinator and backed by LocalGlobe , Dataform had set out to help data-rich companies draw insights from the data stored in their data warehouses. Mining data for insights and business intelligence typically requires a team of data engineers and analysts.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

TechCrunch

NOVEMBER 2, 2022

When Berlin-based Y42 launched in 2020 , its focus was mostly on orchestrating data pipelines for business intelligence. “The use case for data has moved beyond ad hoc reporting to become the very lifeblood of a company. No-code business intelligence service y42 raises $2.9M seed round.

Data 203

Data Business Intelligence Open Source Government 203

TechCrunch

OCTOBER 25, 2021

We are taking all the best practices of the modern data stack of these point-to-point tools, but apply them to one consistent platform.” Every business leader today knows they need to extract more value from their data, but the data talent to adopt and maintain a modern stack is scarce; demand for data engineers is growing 50% annually.

Data 210

Data Data Engineering Google Cloud Business Intelligence 210

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Artificial Inteligence 242

Artificial Inteligence Machine Learning Company Case Study 242

TechCrunch

FEBRUARY 24, 2021

From there, it offers a full-text search that allows users to quickly find data as well as “heat map” signals in its search results which can quickly pinpoint which columns of a dataset are most used by applications within a company and have the most queries that reference them. Photo via Select Star. Photo via Select Star.

Data 271

Data Business Intelligence Big Data Data Engineering 271

TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing.

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

AUGUST 4, 2022

Company co-founder and CEO Michael Driscoll says he started the company in 2020 with the premise that the business intelligence was broken. He and his team of engineers, most of whom had came from his team at Snap, went to work on building a better solution for a broader audience. “I

Open Source 246

Open Source Metrics Enterprise Business Intelligence 246

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

TechCrunch

SEPTEMBER 29, 2022

Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.)

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

CIO

APRIL 22, 2022

Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data scientists are the core of most data science teams, but moving from data to analysis to production value requires a range of skills and roles. Tableau: Now owned by Salesforce, Tableau is a data visualization tool.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TechCrunch

SEPTEMBER 1, 2022

. “Our thesis was that while companies collect mountains of data, the return on investment on it remains low because it’s predominantly used in dashboards and reporting, not daily actions and automation,” Akmal told TechCrunch in an email interview. These people are in high demand and there aren’t enough to go around.

Weak Development Team 223

Weak Development Team Marketing Analytics Business Intelligence 223

TechCrunch

NOVEMBER 10, 2020

Explo , a member of the Y Combinator Winter 2020 class, which is helping customers build customer-facing business intelligence dashboards, announced a $2.3 million seed round today. Investors included Amplo VC, Soma Capital and Y Combinator along with several individual investors.

CTO Coach 196

CTO Coach Business Intelligence Travel Data Engineering 196

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. And third of all, to provide customers with APIs that they can use to embed the metric-extracting tools into other applications, whether in business intelligence or elsewhere.

Metrics 247

Metrics Tools Data Big Data 247

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

DECEMBER 14, 2023

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

Artificial Inteligence 174

Artificial Inteligence Analysis Data Cloud 174

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Cloudera

OCTOBER 23, 2024

That’s why Cloudera added support for the REST catalog : to make open metadata a priority for our customers and to ensure that data teams can truly leverage the best tool for each workload– whether it’s ingestion, reporting, data engineering, or building, training, and deploying AI models.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

CIO

JANUARY 22, 2025

Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says. They can build the skills in house, hire from outside, or develop strategic partners with trustworthy companies that have the skills.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

TechCrunch

MAY 26, 2022

He’s the founder of Manta , a data lineage platform that automatically scans an organization’s data sources to build a map of data flows. “Data-driven decisions can only be as good as the quality of the underlying data sets and analysis.

Data 228

Data Weak Development Team Enterprise Analysis 228

CIO

JUNE 13, 2024

Data analyst certifications Data analytics skills are in high demand and are relatively rare, so individuals with the right mix of experience and skill can command higher salaries. The right big data certifications and business intelligence certifications can help.

Data 148

Data Analytics Transportation Business Intelligence 148

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 205

Analytics Metrics Government Business Intelligence 205

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 200

Data How To Artificial Inteligence Machine Learning 200

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? Data scientists and data engineers are in demand.

Sustainability 108

Sustainability Company Artificial Inteligence Machine Learning 108

TechCrunch

DECEMBER 16, 2020

. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes. There’s no industry term for that yet, but we really believe that that’s the future of where data engineering is going.

Data 251

Data Analytics B2C Big Data 251

CTOvision

AUGUST 1, 2015

“We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Immuta is focused on addressing these concerns while providing a means to simply and securely gain access to disparate enterprise data through its platform.”. to manage the chaos of big data systems appeared first on CTOvision.com.

Big Data 114

Big Data System Data Software Engineering 114

TechCrunch

APRIL 13, 2021

” It’s worth noting that Meroxa uses a lot of open-source tools but the company has also committed to open-sourcing everything in its data plane as well. “This has multiple wins for us, but one of the biggest incentives is in terms of the customer, we’re really committed to having our agenda aligned.

Data 248

Data Software Engineering Open Source Engineering 248

TechCrunch

FEBRUARY 2, 2022

“What makes RudderStack unique is its end-to-end data pipelines for customer data optimized for data warehouses,” said Praveen Akkiraju, Managing Director at Insight Partners, who will join the company’s board.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Data Azure Google Cloud 78

Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. Data engineer. Data scientists.

Development 44

Development Software Engineering Data Engineering Architecture 44

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Enterprise 112

InfoQ Culture Methods

JULY 17, 2020

To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. The result is not only the most imporant thing, the way you do it more important.

Agile 119

Agile Innovation Culture Business Intelligence 119