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Top 8 analytics trends to watch in 2015

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Deloitte analytics trends
Deloitte has assembled a list of 8 significant analytics trends to watch in 2015.

Growing numbers of analysts and researchers insist that data should not only be managed as an asset, but should also be valued as one. They see a future where companies can routinely monetise their own data for financial gain.

Analytics innovators continue to push the edge, looking for new ways to gain advantage over slower-moving competitors. In some cases, that advantage comes through sweeping discoveries that can upend entire business models. In other cases, more modest insights may emerge that unleash immense value. For 2015, leading companies are working on both fronts to strengthen their competitive positions.

To meet demand, the marketplace is looking for a supply of true data scientists, not just button pushers. Many universities are working to serve this need. But as universities find themselves facing increased expectations to support the new data economy, the pressures will build.

Deloitte has assembled a list of 8 significant analytics trends to watch in 2015. The trends offer some food for thought on how, where, and why the role of analytics is changing, and how businesses might respond. The top 8 trends can be found below, along with questions from Deloitte surrounding these trends:

1. The Analytics of Things: Are we capturing value from structured and unstructured data – including the Internet of Things? Should we be?

2. Monetise This: Have we considered all the value our data can provide – and how do we determine the value of information value anyway?

3. Bionic Brains: What are the possible implications of machine learning and artificial intelligence – not just for our business, but for society and daily living?

4. The Rise of Open Source: Does open source have a place in our analytics ecosystem? Can we govern it?

5. Tax Analytics: What critical insights can tax executives gather from the quantitative field of tax analytics?

6. Universities Step Up: How can future analytics professionals “skill up” to deliver on advances in data science and analytics?

7. The Accuracy Quest: When is data “good enough” to feed effective analytics initiatives?

8. And what about the continuing importance of Data Security? This “supertrend” affects nearly every inch of the enterprise – and it can play an important role within the other trends identified. From intrusion detection to malware countermeasures, analytics-driven security strategies can offer organisations a predictive, proactive approach to their security challenges.

Staff Writer

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