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Loggle is an IT Asset Management Tool that allows IT teams to monitor and manage the lifecycle and costs of all software, hardware and integration assets used within an enterprise.

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Meet Loggle

Loggle is an IT Asset Management Tool that allows IT teams to monitor and manage the lifecycle and costs of all software, hardware and integration assets used within an enterprise.

Learn More
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Data-Driven Approach for IT Investments

Data-Driven Approach for IT Investments

As technology develops, IT expenditures of enterprises increase. This trend is expected to continue for a considerable period of time. The only problem is that not all investments will be successful. Not in the long run and not when it comes to your business. Your IT investment strategy may be reliant on the performance of your IT department or even your business overall.

You've probably heard the phrase "data-driven IT investment decisions." This term is thrown around quite a bit and is often incorrectly associated with bad decisions. In fact, it's one of the more powerful aspects of data. Whether it's business intelligence, those elusive analytics, or any data-based decision being made, having the right data sets and information can make all the difference. When you have data-driven IT investments, it makes investing smarter and more accurate — thus enabling businesses to make more accurate investment decisions.

IT investments of enterprises are becoming more and more complex. The availability of data and the evolution of IT environments require increased investment in the field of IT. A dynamic approach to IT investments is required to ensure efficient and effective solutions that meet the demands placed on them by clients and maximize value for money.

Data-Driven IT Investment Strategy

Today's IT investments to deliver new-age digital experiences and extend cloud benefits are expected to be on the aggressive side. Traditionally, IT investment strategies are mostly reactive, but this is not the case. Technology investments must be data-driven; that means buyers must gather information about technology by creating a systematic framework for actions based upon an analysis of their information technology (IT) investments.

Data-driven IT investments enable businesses to make more accurate investment decisions and reduce their financial risk. At the same time, companies realize a better ROI from their IT investments by using data analytics and knowledge graphs to the fullest extent possible.

Importance of Data-Driven IT Investments

Data-driven IT investments enable businesses to make more accurate investment decisions. IT investment decisions are often made based on a gut feeling or personal preferences, which can lead to incorrect choices. If a business invests in the wrong technology, it can result in wasted resources, lower profits and a competitive disadvantage.

Data-driven IT investments provide businesses with the insight needed to choose the correct technologies for their needs. They allow businesses to accurately measure their current IT capabilities, allowing them to identify potential gaps that could be addressed with new technologies.

Businesses can use data-driven IT investments to identify their current and future requirements. This ensures they only invest in technologies that deliver real benefits. Data-driven IT investments also consider the return on investment (ROI) associated with different technologies and solutions. This enables businesses to make decisions based on how much money they will save or earn from new solutions, rather than investing without considering the bottom line.

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Data-Driven Approach with IT Asset Management

The best way to manage IT investments is to understand the key drivers of IT spending, including the cost of IT work, frequency and amount of downtime, business process efficiency, IT skill levels, and backup and security costs.

The data available in asset management has tremendous value for businesses to make data-driven decisions about IT investments. But the challenges are many. In an organization's digital transformation, it's likely that business processes are changing rapidly and the data must be actionable in order for the organization to stay competitive.

To obtain meaningful insights from IT asset management data, organizations need a process that can provide a continuous stream of information throughout each stage of their digital transformation. In this paper, we compare traditional approaches to asset management with a new approach based on artificial intelligence (AI).

The traditional approach involves identifying assets by type (hardware, software), categorizing assets by function (security apps, e-mail servers) and tracking assets over time to identify trends. This approach works well for large enterprises that have more than a few hundred assets in place at any time.

A new approach uses machine learning techniques to first identify key assets across an organization as a whole, then use AI to automate the process used by people in these asset management roles during a typical day.

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loggle Meet Loggle

Loggle is an IT Asset Management Tool that allows IT teams to monitor and manage the lifecycle and costs of all software, hardware and integration assets used within an enterprise.

Learn More
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