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Cloud BI: Challenges by Company Size

Cloud BI: Challenges by Company Size

Security and legal issues are the biggest barriers to cloud BI for large and mid-size companies Security and legal issues are the biggest challenges for large and mid-size organizations implementing cloud BI since they face more regulatory and investor scrutiny than smaller companies. The biggest challenges for small companies are security and politics. Challenges when implementing cloud BI, by …

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Mobile Business Intelligence: What it is and how it works

Mobile Business Intelligence: What it is and how it works

Nowadays, companies are under increasing pressure to make better decisions faster. Mobile business intelligence (BI) systems are deployed both to keep pace with rivals and to try to gain an advantage over the competition. This simply cannot be effective if the information used is out of date. The pace of business has now changed, leading …

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Integrated Business Intelligence and Performance Management: What You Need to Know

Integrated Business Intelligence and Performance Management: What You Need to Know

The simplest definition of management is to plan, steer and control an organization’s performance. Planning and controlling this performance relies on the analysis of the past outcomes of operational processes. Decisions are taken at many levels – strategically, tactically and operationally – and include data about the past (e.g. in reporting), about processes currently running …

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Data Governance - Definition, Challenges & Best Practices

Data Governance – Definition, Challenges & Best Practices

Data governance forms the basis for company-wide data management and makes the efficient use of trustworthy data possible. The efficient management of data is an important task that requires centralized control mechanisms. What Is Data Governance? Data Governance includes the people, processes and technologies needed to manage and protect the company’s data assets in order …

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Implementation Time for Planning and Budgeting Tools

Implementation Time for Planning and Budgeting Tools

How Long Do Organizations Need to Implement a Planning Solution? As a rule of thumb, software selection projects (excluding the implementation phase) should not take longer than six months. Requirements can change in a short timeframe so the choice of product should be made within six months of beginning the requirements analysis. The general goal …

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Advanced and Predictive Analytics: An Introduction

Advanced and Predictive Analytics: An Introduction

“More than just reporting” – this is the mantra for many BI executives nowadays. Advanced and predictive analytics in particular offer huge potential in terms of return on investment in BI systems and data inventory. What is Advanced and Predictive Analytics? Advanced analytics describes data analysis that goes beyond simple mathematical calculations such as sums and …

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The Most Common Problems Companies Are Facing With Their Big Data Analytics

The Most Common Problems Companies Are Facing With Their Big Data Analytics

Insufficient Skills Are Curbing The Big Data Boom Enterprises can derive substantial benefits from big data analysis. Nonetheless, there are a number of challenges to overcome too. On the whole, big data appears to be a topic that brings many benefits, but many problems as well. Only six percent of all respondents said that they see no …

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Investments in Big Data

Investments in Big Data

Big Data Is A Job Engine Since big data is just becoming established in enterprises, questions regarding its financing are of particular interest. How are companies financing their big data initiatives? Where are these investments being directed? Are budgets increasing, getting smaller, or remaining constant? In companies that already use big data, most investments flow into a …

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Analytical Databases: What Are They and Why Are They Important?

Analytical Databases: What Are They and Why Are They Important?

A key question at the moment for many project managers is whether existing BI systems can be operated more flexibly, efficiently and cost-effectively using analytical databases. This interest in analytical databases is also being fueled by well-established database providers, and new players alike, who are promoting these technologies heavily as they identify new sales opportunities in the …

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