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We all know how powerful PitchPerfect in Word is but now we have made it so that it is more powerful in PowerPoint too.
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There can be many activities a marketing or business development team will be responsible for when trying to expand their digital footprint and attract more qualifies clients, including blogging, social media, website management and digital marketing.
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Welcome to our survey about your experiences on furlough leave and in particular if you think your employer has made a fraudulent claim under the Coronavirus Job Retention Scheme (CJRS). Thank you for taking the time to participate.
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Learn how to increase your client base, fee income and profits (even during Covid-19).
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Your website is generally the first point of contact for any new prospect and potentially an ongoing point of contact for existing clients too.
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If you follow these guidelines (best practices) you should emerge from most updates unaffected.
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Have current events necessitated furloughing your marketing team? We know some customers who have already done it.
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Here are some ideas, thoughts, musings that I have had, have collected or been given by clients over the last two weeks.
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Welcome to the third instalment in our blog series on firmwide analytics. Ask anyone who has attended a legal conference recently, and they will tell you that data is everything. From AI applications to machine learning, it all hinges on information. However, there seems to be less certainty about exactly which data everyone should be collecting. Or why for that matter… For this very reason, we at Clocktimizer will be looking at the full range of data analysis available to firms. We will be breaking down firmwide analytics by department and exploring the data to collect, the insights you can hope to gain from it, and how you can apply these learnings in your firm.
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Welcome to the second installment in our blog series on firmwide analytics. Ask anyone who has attended a legal conference recently, and they will tell you that data is everything. From AI applications to machine learning, it all hinges on information. However, there seems to be less certainty about exactly which data everyone should be collecting. Or why for that matter… For this very reason, we at Clocktimizer will be looking at the full range of data analysis available to firms. We will be breaking down firmwide analytics by department and exploring the data to collect, the insights you can hope to gain from it, and how you can apply these learnings in your firm.
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PitchPerfect is the leading solution to all your legal pitching problems. Integration directly into Word and PowerPoint the software provides the marketing and business development team, of a law firm, with the ability to navigate the interface with ease.
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As we outlined last week, we are starting a new blog series covering firmwide analytics. Having already looked at what a data governance policy actually is, we will be diving further into the topic’s practicalities. Namely, we will be looking at the sort of data your firm should be collecting, which areas it should be collecting them in, and what sort of insights it can hope to get from this data. Taken together, the blogs will provide a solid starting point for any firm looking at getting the most out of their data.
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At Clocktimizer, we’re in the business of data. We believe that the right data, and the right analysis of that data, can guide firms towards making better decisions. However, data collection and analysis is no simple task. Most firms do not have access to a data scientist or analyst. So how to know what data to collect? How can a firm create a data strategy across all of the different moving parts that make up the modern law firm?
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As we have noted in recent blogs, data collection and analysis is essential to the long term success of your business. Whether it be profitability analysis or looking for ways to improve processes, data guides the process. However, data analysis is not something to jump into blindly. While working on drawing meaningful conclusions from your data, you are likely to encounter many challenges. It may be difficult to collect or identify the right data streams. The data itself may be incomplete, inconsistent, or unavailable.
