CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

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CIO Business Intelligence

MARCH 9, 2022

They were, however, using multiple vendor technologies to support the data lake, which led to inefficiencies in the way they analysed their data. The window of the forecasting was 14 days, with 30-minute continuous intervals, right up to four hours before each flight. A change was needed. Martin Hammer.

Data Science 88

Data Science Data Lake Cost-Benefit Digital Transformation 88

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side?

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. Sensors, AI, and robotics are key Manufacturing 4.0

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CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” It was always a waste of money,” she says. “If

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CIO Business Intelligence

MARCH 8, 2023

The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path. Infosys research found 63 per cent of AI models function at basic capability only, are driven by humans, and often fall short on data verification, data practices and data strategies.

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CIO Business Intelligence

JULY 18, 2022

“If you have your data in different tools, based on a private cloud or public cloud, you’re going to run into barriers,” notes Pat Reardon, director, HPE GreenLake ISV ecosystem. Managing those environments separately is inefficient and creates data silos that make it hard to advance a singular data strategy.

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AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better.

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Optimization B2B Data Quality Sales 88

CIO Business Intelligence

MARCH 21, 2022

Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass. Inaccurate forecasts. Lost productivity.

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Data-driven IT Finance Forecasting 108

CIO Business Intelligence

JANUARY 24, 2024

You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. Put your data strategy in business turns. “When you start building longer-term modular capabilities, it’ll feel slower and more expensive than the way you’ve done it in the past,” she says.

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Risk Management Risk Management Digital Transformation 101

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

OCTOBER 4, 2022

Most business and IT leaders understand the value of getting closer to customers. Embed CX into your data strategy. To tap insights that can help elevate the customer experience, CIOs first need to modernize their approach to managing, accessing, analyzing, and acting on data. Consider three key areas of focus: 1.

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Data-driven Machine Learning Interactive Predictive Analytics 100

CIO Business Intelligence

JANUARY 12, 2024

Centralizing data strategies One of the implications of having multiple CRMs is that data is scattered all over the place, which creates, as Miller puts it, “unintended horrifying complexity.” Miller adds, “For AI to be really fruitful, you need massive amounts of data.

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Sales Marketing Data-driven Interactive 118

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. This is the first post in a series of three on data-driven organisations.

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Data-driven Data Lake Data Warehouse Cost-Benefit 83

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Join a demo to learn how a data intelligence platform can revolutionize the data strategy at your organization.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

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Modeling Big Data IoT Data Warehouse 84

Sisense

FEBRUARY 24, 2021

Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts. Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Sisense

APRIL 6, 2020

Constantinos Mavrommatis is the Chief Data Scientist at RetailZoom , a consultancy that helps supermarkets in Cyprus unlock their data to reveal patterns and forecast future performance. Those armed with a modern data strategy, clear KPIs, and well-modeled dashboards will navigate shifts in the market more smoothly than others.

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Analytics Dashboards KPI Data-driven 98

CIO Business Intelligence

APRIL 7, 2023

Most notably, for about 71% of IT leaders, angst about security creates a barrier to adoption, mandating that approaches, infrastructure, data strategies and security be appropriately aligned 3. At the same time, concerns exist.

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Enterprise Cost-Benefit Modeling Digital Transformation 105

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. It empowers analysts to model scenarios, forecast change, and predict impact of real or imagined events. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business.

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